{"id":2683,"date":"2022-02-23T19:15:45","date_gmt":"2022-02-23T10:15:45","guid":{"rendered":"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/?p=2683"},"modified":"2022-02-23T19:15:45","modified_gmt":"2022-02-23T10:15:45","slug":"%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1","status":"publish","type":"post","link":"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/","title":{"rendered":"\u30dc\u30eb\u30c4\u30de\u30f3\u6a5f\u68b0\u5b66\u7fd2\u306bD-Wave\u30de\u30b7\u30f3\u3092\u7528\u3044\u308b(\u5b9f\u8df5\u7de8part1)"},"content":{"rendered":"<p><a href=\"https:\/\/colab.research.google.com\/github\/T-QARD\/t-wave\/blob\/main\/notebooks\/BM_dwave\/BM_dwave.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/colab.research.google.com\/assets\/colab-badge.svg\" alt=\"Open in Colab\"><\/a><\/p>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\"><\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-white ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title ez-toc-toggle\" style=\"cursor:pointer\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/#%E6%A6%82%E8%A6%81\" >\u6982\u8981<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/#%E6%96%87%E7%8C%AE%E6%83%85%E5%A0%B1\" >\u6587\u732e\u60c5\u5831<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/#%E5%95%8F%E9%A1%8C\" >\u554f\u984c<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/#%E5%AE%9F%E9%A8%93\" >\u5b9f\u9a13<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/#%E3%83%A9%E3%82%A4%E3%83%96%E3%83%A9%E3%83%AA%E3%81%AE%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%BC%E3%83%AB\" >\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/#%E3%83%87%E3%83%BC%E3%82%BF%E3%82%BB%E3%83%83%E3%83%88%E3%81%AE%E6%BA%96%E5%82%99\" >\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6e96\u5099<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/#%E3%83%9C%E3%83%AB%E3%83%84%E3%83%9E%E3%83%B3%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92\" >\u30dc\u30eb\u30c4\u30de\u30f3\u6a5f\u68b0\u5b66\u7fd2<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/#%E7%94%BB%E5%83%8F%E3%81%AE%E7%94%9F%E6%88%90\" >\u753b\u50cf\u306e\u751f\u6210<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/#%E7%94%BB%E5%83%8F%E3%81%AE%E5%BE%A9%E5%85%83\" >\u753b\u50cf\u306e\u5fa9\u5143<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/#%E3%81%82%E3%81%A8%E3%81%8C%E3%81%8D\" >\u3042\u3068\u304c\u304d<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e3%83%9c%e3%83%ab%e3%83%84%e3%83%9e%e3%83%b3%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%81%abd-wave%e3%83%9e%e3%82%b7%e3%83%b3%e3%82%92%e7%94%a8%e3%81%84%e3%82%8b%e5%ae%9f%e8%b7%b5%e7%b7%a8part1\/#%E8%A8%98%E4%BA%8B%E3%81%AE%E6%8B%85%E5%BD%93%E8%80%85\" >\u8a18\u4e8b\u306e\u62c5\u5f53\u8005<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%E6%A6%82%E8%A6%81\"><\/span>\u6982\u8981<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u672c\u8a18\u4e8b\u306f\u3001\u4ee5\u4e0b\u306e\u8ad6\u6587\u306e\u518d\u73fe\u5b9f\u9a13\u3092\u884c\u3063\u305f\u3082\u306e\u3067\u3059\u3002\u5177\u4f53\u7684\u306b\u306f\u3001D-Wave\u30de\u30b7\u30f3\u3092\u7528\u3044\u305f\u624b\u66f8\u304d\u6570\u5b57\u306e\u751f\u6210\u30fb\u5fa9\u5143\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u8ad6\u6587\u306b\u95a2\u3059\u308b\u8a73\u3057\u3044\u89e3\u8aac\u306f\u3001\u8a18\u4e8b\u300c<a href=\"\/T-Wave\/?p=2104\">\u30dc\u30eb\u30c4\u30de\u30f3\u6a5f\u68b0\u5b66\u7fd2\u306bD-Wave\u30de\u30b7\u30f3\u3092\u7528\u3044\u308b<\/a>\u300d\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<h2><span class=\"ez-toc-section\" id=\"%E6%96%87%E7%8C%AE%E6%83%85%E5%A0%B1\"><\/span>\u6587\u732e\u60c5\u5831<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li>\u30bf\u30a4\u30c8\u30eb\uff1aQuantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models<\/li>\n<li>\u8457\u8005\uff1aMarcello Benedetti, John Realpe-G\u00f3mez, Rupak Biswas and Alejandro Perdomo-Ortiz<\/li>\n<li>\u66f8\u8a8c\u60c5\u5831\uff1aPhys. Rev. X 7, 041052 (2017)<\/li>\n<li>DOI : <a href=\"https:\/\/link.aps.org\/doi\/10.1103\/PhysRevX.7.041052\">10.1103\/PhysRevX.7.041052<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<h2><span class=\"ez-toc-section\" id=\"%E5%95%8F%E9%A1%8C\"><\/span>\u554f\u984c<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u5b9f\u9a13\u306e\u5168\u4f53\u50cf\u306f\u6b21\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p><img decoding=\"async\" src=\"https:\/\/journals.aps.org\/prx\/article\/10.1103\/PhysRevX.7.041052\/figures\/1\/medium\" alt=\"\u5b9f\u9a13\u306e\u6982\u8981\"><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>(a)\u3067\u306f\u3001\u30dc\u30eb\u30c4\u30de\u30f3\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u753b\u50cf\u751f\u6210\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<p>(b)\u3067\u306f\u3001\u5b66\u7fd2\u6e08\u307f\u306e\u30d1\u30e9\u30e1\u30fc\u30bf([latex]J[\/latex], [latex]h[\/latex])\u304b\u3089\u753b\u50cf\u306e\u5fa9\u5143\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<h2><span class=\"ez-toc-section\" id=\"%E5%AE%9F%E9%A8%93\"><\/span>\u5b9f\u9a13<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u307e\u305a\u3001\u30dc\u30eb\u30c4\u30de\u30f3\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u753b\u50cf\u751f\u6210\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<h3><span class=\"ez-toc-section\" id=\"%E3%83%A9%E3%82%A4%E3%83%96%E3%83%A9%E3%83%AA%E3%81%AE%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%BC%E3%83%AB\"><\/span>\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u3053\u3053\u3067\u3001\u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"o\">!<\/span>pip install numpy\n<span class=\"o\">!<\/span>pip install matplotlib\n<span class=\"o\">!<\/span>pip install scikit-learn\n<span class=\"o\">!<\/span>pip install dwave-ocean-sdk\n<span class=\"o\">!<\/span>pip install openjij\n<span class=\"o\">!<\/span>pip install tqdm\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<h3><span class=\"ez-toc-section\" id=\"%E3%83%87%E3%83%BC%E3%82%BF%E3%82%BB%E3%83%83%E3%83%88%E3%81%AE%E6%BA%96%E5%82%99\"><\/span>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6e96\u5099<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u5b66\u7fd2\u306b\u7528\u3044\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8(\u624b\u66f8\u304d\u6570\u5b57)\u306f\u3001scikit-learn\u304b\u3089\u5229\u7528\u3067\u304d\u308bMNIST\u3092\u7528\u3044\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"kn\">from<\/span> <span class=\"nn\">sklearn.datasets<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">load_digits<\/span>\n\n<span class=\"c1\"># \u624b\u66f8\u304d\u6570\u5b57\u3092\u53d6\u5f97<\/span>\n<span class=\"n\">digits<\/span> <span class=\"o\">=<\/span> <span class=\"n\">load_digits<\/span><span class=\"p\">()<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f0-9\u306e\u6570\u5b57\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u4eca\u56de\u306f\u300c0\u300d\u3092\u5b66\u7fd2\u306b\u7528\u3044\u308b\u3053\u3068\u306b\u3057\u307e\u3059\u3002<\/p>\n<p>\u4f7f\u7528\u3059\u308b\u300c0\u300d\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8868\u793a\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"kn\">import<\/span> <span class=\"nn\">numpy<\/span> <span class=\"k\">as<\/span> <span class=\"nn\">np<\/span>\n<span class=\"kn\">import<\/span> <span class=\"nn\">matplotlib.pyplot<\/span> <span class=\"k\">as<\/span> <span class=\"nn\">plt<\/span>\n\n<span class=\"k\">def<\/span> <span class=\"nf\">show_img<\/span><span class=\"p\">(<\/span><span class=\"n\">row<\/span><span class=\"p\">,<\/span> <span class=\"n\">col<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list1<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list2<\/span><span class=\"p\">,<\/span> <span class=\"n\">title_list1<\/span><span class=\"p\">,<\/span> <span class=\"n\">title_list2<\/span><span class=\"p\">,<\/span> <span class=\"n\">subtitle<\/span><span class=\"p\">,<\/span> <span class=\"n\">subtitlesize<\/span><span class=\"p\">,<\/span> <span class=\"n\">figsize<\/span><span class=\"p\">):<\/span>\n    <span class=\"n\">fig<\/span><span class=\"p\">,<\/span> <span class=\"n\">ax<\/span> <span class=\"o\">=<\/span> <span class=\"n\">plt<\/span><span class=\"o\">.<\/span><span class=\"n\">subplots<\/span><span class=\"p\">(<\/span><span class=\"n\">row<\/span><span class=\"p\">,<\/span> <span class=\"n\">col<\/span><span class=\"p\">,<\/span> <span class=\"n\">figsize<\/span><span class=\"o\">=<\/span><span class=\"n\">figsize<\/span><span class=\"p\">)<\/span>\n    <span class=\"n\">fig<\/span><span class=\"o\">.<\/span><span class=\"n\">suptitle<\/span><span class=\"p\">(<\/span><span class=\"n\">subtitle<\/span><span class=\"p\">,<\/span> <span class=\"n\">fontsize<\/span><span class=\"o\">=<\/span><span class=\"n\">subtitlesize<\/span><span class=\"p\">,<\/span> <span class=\"n\">color<\/span><span class=\"o\">=<\/span><span class=\"s1\">'black'<\/span><span class=\"p\">)<\/span>\n\n    <span class=\"k\">for<\/span> <span class=\"n\">i<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">col<\/span><span class=\"p\">):<\/span>\n        <span class=\"k\">if<\/span> <span class=\"n\">row<\/span> <span class=\"o\">==<\/span> <span class=\"mi\">1<\/span><span class=\"p\">:<\/span>\n            <span class=\"n\">img1<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">reshape<\/span><span class=\"p\">(<\/span><span class=\"n\">img_list1<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">],<\/span> <span class=\"p\">(<\/span><span class=\"mi\">8<\/span><span class=\"p\">,<\/span> <span class=\"mi\">8<\/span><span class=\"p\">))<\/span>\n            <span class=\"n\">ax<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">]<\/span><span class=\"o\">.<\/span><span class=\"n\">imshow<\/span><span class=\"p\">(<\/span><span class=\"n\">img1<\/span><span class=\"p\">,<\/span> <span class=\"n\">cmap<\/span><span class=\"o\">=<\/span><span class=\"s1\">'Greys'<\/span><span class=\"p\">)<\/span>\n            <span class=\"n\">ax<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">]<\/span><span class=\"o\">.<\/span><span class=\"n\">set_title<\/span><span class=\"p\">(<\/span><span class=\"n\">title_list1<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">])<\/span>\n        <span class=\"k\">else<\/span><span class=\"p\">:<\/span>\n            <span class=\"n\">img1<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">reshape<\/span><span class=\"p\">(<\/span><span class=\"n\">img_list1<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">],<\/span> <span class=\"p\">(<\/span><span class=\"mi\">8<\/span><span class=\"p\">,<\/span> <span class=\"mi\">8<\/span><span class=\"p\">))<\/span>\n            <span class=\"n\">ax<\/span><span class=\"p\">[<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span> <span class=\"n\">i<\/span><span class=\"p\">]<\/span><span class=\"o\">.<\/span><span class=\"n\">imshow<\/span><span class=\"p\">(<\/span><span class=\"n\">img1<\/span><span class=\"p\">,<\/span> <span class=\"n\">cmap<\/span><span class=\"o\">=<\/span><span class=\"s1\">'Greys'<\/span><span class=\"p\">)<\/span>\n            <span class=\"n\">ax<\/span><span class=\"p\">[<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span> <span class=\"n\">i<\/span><span class=\"p\">]<\/span><span class=\"o\">.<\/span><span class=\"n\">set_title<\/span><span class=\"p\">(<\/span><span class=\"n\">title_list1<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">])<\/span>\n\n            <span class=\"n\">img2<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">reshape<\/span><span class=\"p\">(<\/span><span class=\"n\">img_list2<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">],<\/span> <span class=\"p\">(<\/span><span class=\"mi\">8<\/span><span class=\"p\">,<\/span> <span class=\"mi\">8<\/span><span class=\"p\">))<\/span>\n            <span class=\"n\">ax<\/span><span class=\"p\">[<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"n\">i<\/span><span class=\"p\">]<\/span><span class=\"o\">.<\/span><span class=\"n\">imshow<\/span><span class=\"p\">(<\/span><span class=\"n\">img2<\/span><span class=\"p\">,<\/span> <span class=\"n\">cmap<\/span><span class=\"o\">=<\/span><span class=\"s1\">'Greys'<\/span><span class=\"p\">)<\/span>\n            <span class=\"n\">ax<\/span><span class=\"p\">[<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"n\">i<\/span><span class=\"p\">]<\/span><span class=\"o\">.<\/span><span class=\"n\">set_title<\/span><span class=\"p\">(<\/span><span class=\"n\">title_list2<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">])<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"c1\"># \u300c0\u300d\u306e\u307f\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u53d6\u5f97<\/span>\n<span class=\"n\">zero_index_list<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"n\">i<\/span> <span class=\"k\">for<\/span> <span class=\"n\">i<\/span><span class=\"p\">,<\/span> <span class=\"n\">x<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">enumerate<\/span><span class=\"p\">(<\/span><span class=\"n\">digits<\/span><span class=\"o\">.<\/span><span class=\"n\">target<\/span><span class=\"p\">)<\/span> <span class=\"k\">if<\/span> <span class=\"n\">x<\/span> <span class=\"o\">==<\/span> <span class=\"mi\">0<\/span><span class=\"p\">]<\/span>\n<span class=\"n\">raw_data_list<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"n\">digits<\/span><span class=\"o\">.<\/span><span class=\"n\">data<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">]<\/span> <span class=\"k\">for<\/span> <span class=\"n\">i<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">zero_index_list<\/span><span class=\"p\">]<\/span>\n\n<span class=\"c1\"># \u753b\u50cf\u306e\u8868\u793a<\/span>\n<span class=\"n\">show_img<\/span><span class=\"p\">(<\/span><span class=\"n\">row<\/span><span class=\"o\">=<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"n\">col<\/span><span class=\"o\">=<\/span><span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list1<\/span><span class=\"o\">=<\/span><span class=\"n\">raw_data_list<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list2<\/span><span class=\"o\">=<\/span><span class=\"kc\">None<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">title_list1<\/span><span class=\"o\">=<\/span><span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">arange<\/span><span class=\"p\">(<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">6<\/span><span class=\"p\">),<\/span> <span class=\"n\">title_list2<\/span><span class=\"o\">=<\/span><span class=\"kc\">None<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">subtitle<\/span><span class=\"o\">=<\/span><span class=\"s2\">\"MNIST zero-dataset\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">subtitlesize<\/span><span class=\"o\">=<\/span><span class=\"mi\">24<\/span><span class=\"p\">,<\/span> <span class=\"n\">figsize<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mi\">14<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt\"><\/div>\n<div class=\"output_png output_subarea \"><img decoding=\"async\" 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\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u6b21\u306b\u3001\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30a4\u30b8\u30f3\u30b0\u5909\u6570{-1, +1}\u306b\u5909\u63db\u3057\u307e\u3059\u3002<\/p>\n<p>\u4eca\u56de\u306f\u95be\u50244\u3068\u3057\u3066\u30014\u4ee5\u4e0a\u306a\u3089+1\u30014\u672a\u6e80\u306a\u3089-1\u3068\u3057\u307e\u3059\u3002\u307e\u305f\u3001\u30c7\u30fc\u30bf\u306e\u6570\u306f50\u500b\u3068\u3057\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">num_data<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">50<\/span>  <span class=\"c1\"># \u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u306e\u6570<\/span>\n<span class=\"n\">num_spin<\/span> <span class=\"o\">=<\/span> <span class=\"nb\">len<\/span><span class=\"p\">(<\/span><span class=\"n\">raw_data_list<\/span><span class=\"p\">[<\/span><span class=\"mi\">0<\/span><span class=\"p\">])<\/span>  <span class=\"c1\"># \u753b\u50cf1\u679a\u306e\u30b9\u30d4\u30f3\u306e\u6570<\/span>\n\n<span class=\"c1\"># \u30c7\u30fc\u30bf\u306e\u52a0\u5de5<\/span>\n<span class=\"n\">edit_data_list<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[]<\/span>\n<span class=\"k\">for<\/span> <span class=\"n\">n<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_data<\/span><span class=\"p\">):<\/span>\n    <span class=\"n\">edit_data<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"mi\">1<\/span> <span class=\"k\">if<\/span> <span class=\"n\">raw_data_list<\/span><span class=\"p\">[<\/span><span class=\"n\">n<\/span><span class=\"p\">][<\/span><span class=\"n\">spin<\/span><span class=\"p\">]<\/span> <span class=\"o\">&gt;=<\/span> <span class=\"mi\">4<\/span> <span class=\"k\">else<\/span> <span class=\"o\">-<\/span><span class=\"mi\">1<\/span> <span class=\"k\">for<\/span> <span class=\"n\">spin<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">)]<\/span>\n    <span class=\"n\">edit_data_list<\/span><span class=\"o\">.<\/span><span class=\"n\">append<\/span><span class=\"p\">(<\/span><span class=\"n\">edit_data<\/span><span class=\"p\">)<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u52a0\u5de5\u524d\u3068\u52a0\u5de5\u5f8c\u306e\u753b\u50cf\u3092\u6bd4\u8f03\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">raw_title<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"s1\">'raw-'<\/span> <span class=\"o\">+<\/span> <span class=\"nb\">str<\/span><span class=\"p\">(<\/span><span class=\"n\">num<\/span><span class=\"p\">)<\/span> <span class=\"k\">for<\/span> <span class=\"n\">num<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">6<\/span><span class=\"p\">)]<\/span>\n<span class=\"n\">edit_title<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"s1\">'edit-'<\/span> <span class=\"o\">+<\/span> <span class=\"nb\">str<\/span><span class=\"p\">(<\/span><span class=\"n\">num<\/span><span class=\"p\">)<\/span> <span class=\"k\">for<\/span> <span class=\"n\">num<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">6<\/span><span class=\"p\">)]<\/span>\n\n<span class=\"n\">show_img<\/span><span class=\"p\">(<\/span><span class=\"n\">row<\/span><span class=\"o\">=<\/span><span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"n\">col<\/span><span class=\"o\">=<\/span><span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list1<\/span><span class=\"o\">=<\/span><span class=\"n\">raw_data_list<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list2<\/span><span class=\"o\">=<\/span><span class=\"n\">edit_data_list<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">title_list1<\/span><span class=\"o\">=<\/span><span class=\"n\">raw_title<\/span><span class=\"p\">,<\/span> <span class=\"n\">title_list2<\/span><span class=\"o\">=<\/span><span class=\"n\">edit_title<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">subtitle<\/span><span class=\"o\">=<\/span><span class=\"s2\">\"zero-dataset\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">subtitlesize<\/span><span class=\"o\">=<\/span><span class=\"mi\">20<\/span><span class=\"p\">,<\/span> <span class=\"n\">figsize<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mi\">10<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt\"><\/div>\n<div class=\"output_png output_subarea \"><img decoding=\"async\" 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\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u4e0a\u6bb5\u304c\u52a0\u5de5\u524d\u3001\u4e0b\u6bb5\u304c\u52a0\u5de5\u5f8c\u306e\u753b\u50cf\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u3067\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6e96\u5099\u306f\u7d42\u308f\u308a\u3067\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<h3><span class=\"ez-toc-section\" id=\"%E3%83%9C%E3%83%AB%E3%83%84%E3%83%9E%E3%83%B3%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92\"><\/span>\u30dc\u30eb\u30c4\u30de\u30f3\u6a5f\u68b0\u5b66\u7fd2<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u30dc\u30eb\u30c4\u30de\u30f3\u6a5f\u68b0\u5b66\u7fd2\u306e\u539f\u7406\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<p>\u672c\u8ad6\u6587\u3067\u306f\u3001\u91cf\u5b50\u76f8\u5bfe\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc[latex]S[\/latex]\u304c\u6700\u5c0f\u306b\u306a\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u307e\u3057\u305f\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\\begin{equation}<br \/>\nS\\left(\\rho_{\\mathscr{D}} \\| \\rho\\right)=\\text{Tr} \\rho_{\\mathscr{D}} \\ln \\rho_{\\mathscr{D}}-\\text{Tr} \\rho_{\\mathscr{D}} \\ln \\rho<br \/>\n\\end{equation}<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u3053\u3053\u3067\u3001\u76f8\u4e92\u4f5c\u7528[latex]J_{i,j}[\/latex], \u5c40\u6240\u78c1\u5834[latex]h_i[\/latex]\u306b\u304a\u3051\u308b\u52fe\u914d\u6cd5\u306f\u3001<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\\begin{equation}<br \/>\nJ_{i j}^{(k l)}(t+1)=J_{i j}^{(k l)}(t)+\\eta \\frac{\\partial S}{\\partial J_{i j}^{(k l)}}<br \/>\n\\end{equation}<\/p>\n<p>\\begin{equation}<br \/>\n\\frac{1}{\\beta} \\frac{\\partial S}{\\partial J_{i j}^{(k l)}}=\\left\\langle\\hat{Z}_{i}^{(k)} \\hat{Z}_{j}^{(l)}\\right\\rangle_{\\rho \\mathcal{D}}-\\left\\langle\\hat{Z}_{i}^{(k)} \\hat{Z}_{j}^{(l)}\\right\\rangle_{\\rho}<br \/>\n\\end{equation}<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\\begin{equation}<br \/>\nh_{i}^{(k)}(t+1)=h_{i}^{(k)}(t)+\\eta \\frac{\\partial S}{\\partial h_{i}^{(k)}}<br \/>\n\\end{equation}<\/p>\n<p>\\begin{equation}<br \/>\n\\frac{1}{\\beta} \\frac{\\partial S}{\\partial h_{i}^{(k)}}=\\left\\langle\\hat{Z}_{i}^{(k)}\\right\\rangle_{\\rho \\mathcal{D}}-\\left\\langle\\hat{Z}_{i}^{(k)}\\right\\rangle_{\\rho}<br \/>\n\\end{equation}<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u3067\u8868\u305b\u307e\u3059\u3002\u3053\u3053\u3067\u3001\u671f\u5f85\u5024[latex]\\left\\langle{}\\right\\rangle_{\\rho}[\/latex]\u306f\u3001<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\\begin{equation}<br \/>\n\\left\\langle\\hat{Z}_{i}^{(k)} \\hat{Z}_{j}^{(l)}\\right\\rangle_{\\rho} =\\frac{1}{L} \\sum_{l=0}^{L} \\hat{Z}_{i}^{(k)} \\hat{Z}_{j}^{(l)}<br \/>\n\\end{equation}<\/p>\n<p>\\begin{equation}<br \/>\n\\left\\langle\\hat{Z}_{i}^{(k)}\\right\\rangle_{\\rho} =\\frac{1}{L} \\sum_{l=0}^{L} \\hat{Z}_{i}^{(k)}<br \/>\n\\end{equation}<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u306e\u3088\u3046\u306b\u6c42\u3081\u3089\u308c\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u307e\u305f\u3001\u30a4\u30b8\u30f3\u30b0\u5909\u6570[latex]z_i[\/latex]\u3068\u3059\u308b\u3068\u3001\u30b3\u30b9\u30c8\u95a2\u6570\u306f\u3001<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\\begin{equation}<br \/>\nE(\\mathbf{z})=-\\sum_{(i, j)} J_{i j} z_{i} z_{j}-\\sum_{i} h_{i} z_{i}<br \/>\n\\end{equation}<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u3068\u8868\u305b\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u3067\u306f\u3001\u5148\u307b\u3069\u6e96\u5099\u3057\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5b66\u7fd2\u3092\u884c\u3063\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"kn\">from<\/span> <span class=\"nn\">tqdm<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">tqdm<\/span>\n\n<span class=\"k\">def<\/span> <span class=\"nf\">minus_J<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">,<\/span> <span class=\"n\">J<\/span><span class=\"p\">):<\/span>\n    <span class=\"n\">m_J<\/span> <span class=\"o\">=<\/span> <span class=\"p\">{(<\/span><span class=\"n\">i<\/span><span class=\"p\">,<\/span> <span class=\"n\">j<\/span><span class=\"p\">):<\/span> <span class=\"n\">J<\/span><span class=\"p\">[(<\/span><span class=\"n\">i<\/span><span class=\"p\">,<\/span> <span class=\"n\">j<\/span><span class=\"p\">)]<\/span> <span class=\"o\">*<\/span> <span class=\"o\">-<\/span><span class=\"mi\">1<\/span> <span class=\"k\">for<\/span> <span class=\"n\">i<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">)<\/span> <span class=\"k\">for<\/span> <span class=\"n\">j<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">i<\/span><span class=\"o\">+<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"n\">num_spin<\/span><span class=\"p\">)}<\/span>\n    <span class=\"k\">return<\/span> <span class=\"n\">m_J<\/span>\n\n<span class=\"k\">def<\/span> <span class=\"nf\">minus_h<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">,<\/span> <span class=\"n\">h<\/span><span class=\"p\">):<\/span>\n    <span class=\"n\">m_h<\/span> <span class=\"o\">=<\/span> <span class=\"p\">{<\/span><span class=\"n\">i<\/span><span class=\"p\">:<\/span> <span class=\"n\">h<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">]<\/span> <span class=\"o\">*<\/span> <span class=\"o\">-<\/span><span class=\"mi\">1<\/span> <span class=\"k\">for<\/span> <span class=\"n\">i<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">)}<\/span>\n    <span class=\"k\">return<\/span> <span class=\"n\">m_h<\/span>\n\n<span class=\"k\">def<\/span> <span class=\"nf\">train_model<\/span><span class=\"p\">(<\/span><span class=\"n\">Tall<\/span><span class=\"p\">,<\/span> <span class=\"n\">eta<\/span><span class=\"p\">,<\/span> <span class=\"n\">dataset<\/span><span class=\"p\">,<\/span> <span class=\"n\">sampler<\/span><span class=\"p\">,<\/span> <span class=\"n\">sample_params<\/span><span class=\"p\">,<\/span> <span class=\"n\">times<\/span><span class=\"p\">):<\/span>\n    <span class=\"sd\">\"\"\"\u30dc\u30eb\u30c4\u30de\u30f3\u6a5f\u68b0\u5b66\u7fd2<\/span>\n\n<span class=\"sd\">    Tall: \u5b66\u7fd2\u56de\u6570<\/span>\n<span class=\"sd\">    eta: \u5b66\u7fd2\u7387<\/span>\n<span class=\"sd\">    dataset: \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/span>\n<span class=\"sd\">    sampler: \u30b5\u30f3\u30d7\u30e9\u30fc<\/span>\n<span class=\"sd\">    sample_params: \u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u306e\u8a2d\u5b9a<\/span>\n<span class=\"sd\">    times: times\u56de\u3054\u3068\u306b\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u4fdd\u5b58\u3059\u308b<\/span>\n<span class=\"sd\">    \"\"\"<\/span>\n    <span class=\"n\">J_dict<\/span> <span class=\"o\">=<\/span> <span class=\"p\">{}<\/span>  <span class=\"c1\"># \u5b66\u7fd2\u6e08\u307f\u306e\u76f8\u4e92\u4f5c\u7528\u3092\u683c\u7d0d\u3059\u308b<\/span>\n    <span class=\"n\">h_dict<\/span> <span class=\"o\">=<\/span> <span class=\"p\">{}<\/span>  <span class=\"c1\"># \u5b66\u7fd2\u6e08\u307f\u306e\u5c40\u6240\u78c1\u5834\u3092\u683c\u7d0d\u3059\u308b<\/span>\n    <span class=\"n\">h<\/span> <span class=\"o\">=<\/span> <span class=\"p\">{<\/span><span class=\"n\">i<\/span><span class=\"p\">:<\/span> <span class=\"mi\">0<\/span> <span class=\"k\">for<\/span> <span class=\"n\">i<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">)}<\/span>  <span class=\"c1\"># \u5c40\u6240\u78c1\u5834\u306e\u521d\u671f\u72b6\u614b<\/span>\n    <span class=\"n\">J<\/span> <span class=\"o\">=<\/span> <span class=\"p\">{(<\/span><span class=\"n\">i<\/span><span class=\"p\">,<\/span> <span class=\"n\">j<\/span><span class=\"p\">):<\/span> <span class=\"mi\">0<\/span> <span class=\"k\">for<\/span> <span class=\"n\">i<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">)<\/span> <span class=\"k\">for<\/span> <span class=\"n\">j<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">i<\/span><span class=\"o\">+<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"n\">num_spin<\/span><span class=\"p\">)}<\/span>  <span class=\"c1\"># \u76f8\u4e92\u4f5c\u7528\u306e\u521d\u671f\u72b6\u614b<\/span>\n\n    <span class=\"n\">num_data<\/span><span class=\"o\">=<\/span><span class=\"nb\">len<\/span><span class=\"p\">(<\/span><span class=\"n\">dataset<\/span><span class=\"p\">)<\/span> <span class=\"c1\"># \u30c7\u30fc\u30bf\u306e\u6570<\/span>\n    <span class=\"n\">num_spin<\/span><span class=\"o\">=<\/span><span class=\"nb\">len<\/span><span class=\"p\">(<\/span><span class=\"n\">dataset<\/span><span class=\"p\">[<\/span><span class=\"mi\">0<\/span><span class=\"p\">])<\/span> <span class=\"c1\"># \u30b9\u30d4\u30f3\u306e\u6570<\/span>\n\n    <span class=\"k\">for<\/span> <span class=\"n\">t<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">tqdm<\/span><span class=\"p\">(<\/span><span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">arange<\/span><span class=\"p\">(<\/span><span class=\"n\">Tall<\/span><span class=\"p\">)):<\/span>\n        <span class=\"c1\"># OpenJij\u3084D-Wave\u30de\u30b7\u30f3\u306b\u306f-1\u500d\u3057\u305fh,J\u3092\u4e0e\u3048\u308b\u5fc5\u8981\u304c\u3042\u308b<\/span>\n        <span class=\"n\">m_h<\/span> <span class=\"o\">=<\/span> <span class=\"n\">minus_h<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">,<\/span> <span class=\"n\">h<\/span><span class=\"p\">)<\/span>\n        <span class=\"n\">m_J<\/span> <span class=\"o\">=<\/span> <span class=\"n\">minus_J<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">,<\/span> <span class=\"n\">J<\/span><span class=\"p\">)<\/span>\n\n        <span class=\"c1\"># \u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/span>\n        <span class=\"n\">sampleset<\/span> <span class=\"o\">=<\/span> <span class=\"n\">sampler<\/span><span class=\"o\">.<\/span><span class=\"n\">sample_ising<\/span><span class=\"p\">(<\/span><span class=\"n\">h<\/span><span class=\"o\">=<\/span><span class=\"n\">m_h<\/span><span class=\"p\">,<\/span> <span class=\"n\">J<\/span><span class=\"o\">=<\/span><span class=\"n\">m_J<\/span><span class=\"p\">,<\/span> <span class=\"o\">**<\/span><span class=\"n\">sample_params<\/span><span class=\"p\">)<\/span>\n        <span class=\"n\">x<\/span> <span class=\"o\">=<\/span> <span class=\"n\">sampleset<\/span><span class=\"o\">.<\/span><span class=\"n\">record<\/span><span class=\"o\">.<\/span><span class=\"n\">sample<\/span>\n\n        <span class=\"c1\"># \u52fe\u914d\u6cd5<\/span>\n        <span class=\"k\">for<\/span> <span class=\"n\">i<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">):<\/span>\n            <span class=\"n\">data_h_ave<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">average<\/span><span class=\"p\">([<\/span><span class=\"n\">dataset<\/span><span class=\"p\">[<\/span><span class=\"n\">k<\/span><span class=\"p\">][<\/span><span class=\"n\">i<\/span><span class=\"p\">]<\/span> <span class=\"k\">for<\/span> <span class=\"n\">k<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_data<\/span><span class=\"p\">)])<\/span>  <span class=\"c1\"># \u30c7\u30fc\u30bf\u306e\u7d4c\u9a13\u5e73\u5747<\/span>\n            <span class=\"n\">sample_h_ave<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">average<\/span><span class=\"p\">([<\/span><span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"n\">k<\/span><span class=\"p\">][<\/span><span class=\"n\">i<\/span><span class=\"p\">]<\/span> <span class=\"k\">for<\/span> <span class=\"n\">k<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"nb\">len<\/span><span class=\"p\">(<\/span><span class=\"n\">x<\/span><span class=\"p\">))])<\/span>  <span class=\"c1\"># \u30b5\u30f3\u30d7\u30eb\u306e\u7d4c\u9a13\u5e73\u5747<\/span>\n            <span class=\"n\">h<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">]<\/span> <span class=\"o\">+=<\/span> <span class=\"n\">eta<\/span> <span class=\"o\">*<\/span> <span class=\"p\">(<\/span><span class=\"n\">data_h_ave<\/span> <span class=\"o\">-<\/span> <span class=\"n\">sample_h_ave<\/span><span class=\"p\">)<\/span>  <span class=\"c1\"># \u5c40\u6240\u78c1\u5834\u306e\u66f4\u65b0<\/span>\n            <span class=\"k\">for<\/span> <span class=\"n\">j<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">i<\/span><span class=\"o\">+<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"n\">num_spin<\/span><span class=\"p\">):<\/span>\n                <span class=\"n\">data_J_ave<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">average<\/span><span class=\"p\">([<\/span><span class=\"n\">dataset<\/span><span class=\"p\">[<\/span><span class=\"n\">k<\/span><span class=\"p\">][<\/span><span class=\"n\">i<\/span><span class=\"p\">]<\/span> <span class=\"o\">*<\/span> <span class=\"n\">dataset<\/span><span class=\"p\">[<\/span><span class=\"n\">k<\/span><span class=\"p\">][<\/span><span class=\"n\">j<\/span><span class=\"p\">]<\/span> <span class=\"k\">for<\/span> <span class=\"n\">k<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_data<\/span><span class=\"p\">)])<\/span>  <span class=\"c1\"># \u30c7\u30fc\u30bf\u306e\u7d4c\u9a13\u5e73\u5747<\/span>\n                <span class=\"n\">sample_J_ave<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">average<\/span><span class=\"p\">([<\/span><span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"n\">k<\/span><span class=\"p\">][<\/span><span class=\"n\">i<\/span><span class=\"p\">]<\/span> <span class=\"o\">*<\/span> <span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"n\">k<\/span><span class=\"p\">][<\/span><span class=\"n\">j<\/span><span class=\"p\">]<\/span> <span class=\"k\">for<\/span> <span class=\"n\">k<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"nb\">len<\/span><span class=\"p\">(<\/span><span class=\"n\">x<\/span><span class=\"p\">))])<\/span>  <span class=\"c1\"># \u30b5\u30f3\u30d7\u30eb\u306e\u7d4c\u9a13\u5e73\u5747<\/span>\n                <span class=\"n\">J<\/span><span class=\"p\">[(<\/span><span class=\"n\">i<\/span><span class=\"p\">,<\/span> <span class=\"n\">j<\/span><span class=\"p\">)]<\/span> <span class=\"o\">+=<\/span> <span class=\"n\">eta<\/span> <span class=\"o\">*<\/span> <span class=\"p\">(<\/span><span class=\"n\">data_J_ave<\/span> <span class=\"o\">-<\/span> <span class=\"n\">sample_J_ave<\/span><span class=\"p\">)<\/span>  <span class=\"c1\"># \u76f8\u4e92\u4f5c\u7528\u306e\u66f4\u65b0<\/span>\n\n        <span class=\"c1\"># \u4e00\u5b9a\u306e\u5b66\u7fd2\u56de\u6570\u3054\u3068\u306b\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u4fdd\u5b58<\/span>\n        <span class=\"k\">if<\/span> <span class=\"n\">t<\/span> <span class=\"o\">==<\/span> <span class=\"mi\">0<\/span> <span class=\"ow\">or<\/span> <span class=\"p\">(<\/span><span class=\"n\">t<\/span><span class=\"o\">+<\/span><span class=\"mi\">1<\/span><span class=\"p\">)<\/span> <span class=\"o\">%<\/span> <span class=\"n\">times<\/span> <span class=\"o\">==<\/span> <span class=\"mi\">0<\/span><span class=\"p\">:<\/span>\n            <span class=\"n\">J_dict<\/span><span class=\"p\">[<\/span><span class=\"n\">t<\/span><span class=\"o\">+<\/span><span class=\"mi\">1<\/span><span class=\"p\">]<\/span> <span class=\"o\">=<\/span> <span class=\"n\">J<\/span><span class=\"o\">.<\/span><span class=\"n\">copy<\/span><span class=\"p\">()<\/span>\n            <span class=\"n\">h_dict<\/span><span class=\"p\">[<\/span><span class=\"n\">t<\/span><span class=\"o\">+<\/span><span class=\"mi\">1<\/span><span class=\"p\">]<\/span> <span class=\"o\">=<\/span> <span class=\"n\">h<\/span><span class=\"o\">.<\/span><span class=\"n\">copy<\/span><span class=\"p\">()<\/span>\n\n    <span class=\"k\">return<\/span> <span class=\"n\">J_dict<\/span><span class=\"p\">,<\/span> <span class=\"n\">h_dict<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u3053\u308c\u3067\u3001\u5b66\u7fd2\u306e\u6e96\u5099\u304c\u7d42\u308f\u308a\u307e\u3057\u305f\u3002\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u5b66\u7fd2\u3092\u884c\u3044\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"c1\"># Openjij\u306e\u5834\u5408<\/span>\n<span class=\"kn\">import<\/span> <span class=\"nn\">openjij<\/span> <span class=\"k\">as<\/span> <span class=\"nn\">oj<\/span>\n<span class=\"kn\">from<\/span> <span class=\"nn\">openjij<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">SQASampler<\/span>\n<span class=\"n\">sampler<\/span> <span class=\"o\">=<\/span> <span class=\"n\">oj<\/span><span class=\"o\">.<\/span><span class=\"n\">SQASampler<\/span><span class=\"p\">()<\/span>\n\n<span class=\"c1\"># D-Wave\u30de\u30b7\u30f3\u306e\u5834\u5408<\/span>\n<span class=\"c1\"># from dwave.system import DWaveSampler, EmbeddingComposite<\/span>\n<span class=\"c1\"># sampler_config = {'solver': 'DW_2000Q_6', 'token': 'YOUR_TOKEN'}<\/span>\n<span class=\"c1\"># sampler = EmbeddingComposite(DWaveSampler(**sampler_config))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u672c\u5b9f\u9a13\u3067\u306f30\u56de\u306e\u5b66\u7fd2\u3092\u884c\u3044\u30015\u56de\u306e\u5b66\u7fd2\u6bce\u306b\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u4fdd\u5b58\u3057\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">J_dict<\/span><span class=\"p\">,<\/span> <span class=\"n\">h_dict<\/span> <span class=\"o\">=<\/span> <span class=\"n\">train_model<\/span><span class=\"p\">(<\/span><span class=\"n\">Tall<\/span><span class=\"o\">=<\/span><span class=\"mi\">30<\/span><span class=\"p\">,<\/span> <span class=\"n\">eta<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.001<\/span><span class=\"p\">,<\/span> <span class=\"n\">dataset<\/span><span class=\"o\">=<\/span><span class=\"n\">edit_data_list<\/span><span class=\"p\">,\n<\/span><span class=\"n\">                             sampler<\/span><span class=\"o\">=<\/span><span class=\"n\">sampler<\/span><span class=\"p\">,<\/span> <span class=\"n\">sample_params<\/span><span class=\"o\">=<\/span><span class=\"p\">{<\/span><span class=\"s1\">'beta'<\/span><span class=\"p\">:<\/span> <span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"s1\">'num_reads'<\/span><span class=\"p\">:<\/span> <span class=\"mi\">100<\/span><span class=\"p\">},<\/span> <span class=\"n\">times<\/span><span class=\"o\">=<\/span><span class=\"mi\">5<\/span><span class=\"p\">)<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u3053\u308c\u3067\u3001\u5b66\u7fd2\u304c\u7d42\u4e86\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u5165\u529b\u3068\u3057\u3066\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3092\u884c\u3044\u3001\u7d50\u679c\u3092\u8868\u793a\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<h3><span class=\"ez-toc-section\" id=\"%E7%94%BB%E5%83%8F%E3%81%AE%E7%94%9F%E6%88%90\"><\/span>\u753b\u50cf\u306e\u751f\u6210<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u5b66\u7fd2\u6e08\u307f\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u3001\u3044\u304f\u3064\u304b\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">ans_list<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[]<\/span>\n<span class=\"k\">for<\/span> <span class=\"n\">k<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">J_dict<\/span><span class=\"o\">.<\/span><span class=\"n\">keys<\/span><span class=\"p\">():<\/span>\n    <span class=\"n\">m_h<\/span> <span class=\"o\">=<\/span> <span class=\"n\">minus_h<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">,<\/span> <span class=\"n\">h_dict<\/span><span class=\"p\">[<\/span><span class=\"n\">k<\/span><span class=\"p\">])<\/span>\n    <span class=\"n\">m_J<\/span> <span class=\"o\">=<\/span> <span class=\"n\">minus_J<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">,<\/span> <span class=\"n\">J_dict<\/span><span class=\"p\">[<\/span><span class=\"n\">k<\/span><span class=\"p\">])<\/span>\n    <span class=\"n\">sampleset<\/span> <span class=\"o\">=<\/span> <span class=\"n\">sampler<\/span><span class=\"o\">.<\/span><span class=\"n\">sample_ising<\/span><span class=\"p\">(<\/span><span class=\"n\">h<\/span><span class=\"o\">=<\/span><span class=\"n\">m_h<\/span><span class=\"p\">,<\/span> <span class=\"n\">J<\/span><span class=\"o\">=<\/span><span class=\"n\">m_J<\/span><span class=\"p\">)<\/span>\n    <span class=\"n\">ans_list<\/span><span class=\"o\">.<\/span><span class=\"n\">append<\/span><span class=\"p\">(<\/span><span class=\"n\">sampleset<\/span><span class=\"o\">.<\/span><span class=\"n\">record<\/span><span class=\"o\">.<\/span><span class=\"n\">sample<\/span><span class=\"p\">)<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">times_title<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"nb\">str<\/span><span class=\"p\">(<\/span><span class=\"n\">k<\/span><span class=\"p\">)<\/span> <span class=\"o\">+<\/span> <span class=\"s1\">'-times'<\/span> <span class=\"k\">for<\/span> <span class=\"n\">k<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">J_dict<\/span><span class=\"o\">.<\/span><span class=\"n\">keys<\/span><span class=\"p\">()]<\/span>\n<span class=\"n\">show_img<\/span><span class=\"p\">(<\/span><span class=\"n\">img_list1<\/span><span class=\"o\">=<\/span><span class=\"n\">ans_list<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list2<\/span><span class=\"o\">=<\/span><span class=\"kc\">None<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">title_list1<\/span><span class=\"o\">=<\/span><span class=\"n\">times_title<\/span><span class=\"p\">,<\/span> <span class=\"n\">title_list2<\/span><span class=\"o\">=<\/span><span class=\"kc\">None<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">subtitle<\/span><span class=\"o\">=<\/span><span class=\"s2\">\"\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">subtitlesize<\/span><span class=\"o\">=<\/span><span class=\"mi\">24<\/span><span class=\"p\">,<\/span> <span class=\"n\">figsize<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mi\">14<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt\"><\/div>\n<div class=\"output_png output_subarea \"><img decoding=\"async\" src=\"data:image\/png;base64,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\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u5b66\u7fd2\u56de\u6570\u3092\u5897\u3084\u3059\u306b\u3064\u308c\u3066\u3001\u300c0\u300d\u306e\u3088\u3046\u306a\u753b\u50cf\u3092\u751f\u6210\u51fa\u6765\u3066\u3044\u308b\u3053\u3068\u304c\u5206\u304b\u308a\u307e\u3059\u3002\u3053\u308c\u3088\u308a\u3001\u624b\u66f8\u304d\u6570\u5b57\u3092\u5b66\u7fd2\u51fa\u6765\u3066\u3044\u308b\u3053\u3068\u304c\u78ba\u8a8d\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<h3><span class=\"ez-toc-section\" id=\"%E7%94%BB%E5%83%8F%E3%81%AE%E5%BE%A9%E5%85%83\"><\/span>\u753b\u50cf\u306e\u5fa9\u5143<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u3053\u3053\u3067\u306f\u30010-4\u306e\u624b\u66f8\u304d\u6570\u5b57\u3092\u5b66\u7fd2\u3057\u305f\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u7528\u3044\u3066\u753b\u50cf\u306e\u5fa9\u5143\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<p>\u307e\u305a\u3001\u5b66\u7fd2\u306b\u4f7f\u7528\u3059\u308b0-4\u306e\u753b\u50cf\u3092\u7528\u610f\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"c1\"># 0-4\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u62bd\u51fa<\/span>\n<span class=\"n\">zero_four_index_list<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"n\">i<\/span> <span class=\"k\">for<\/span> <span class=\"n\">i<\/span><span class=\"p\">,<\/span> <span class=\"n\">x<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">enumerate<\/span><span class=\"p\">(<\/span><span class=\"n\">digits<\/span><span class=\"o\">.<\/span><span class=\"n\">target<\/span><span class=\"p\">)<\/span> <span class=\"k\">if<\/span> <span class=\"n\">x<\/span> <span class=\"o\">&lt;=<\/span> <span class=\"mi\">4<\/span><span class=\"p\">]<\/span>\n<span class=\"n\">raw_data04_list<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"n\">digits<\/span><span class=\"o\">.<\/span><span class=\"n\">data<\/span><span class=\"p\">[<\/span><span class=\"n\">i<\/span><span class=\"p\">]<\/span> <span class=\"k\">for<\/span> <span class=\"n\">i<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">zero_four_index_lst<\/span><span class=\"p\">]<\/span>\n\n<span class=\"c1\"># \u30c7\u30fc\u30bf\u306e\u52a0\u5de5<\/span>\n<span class=\"n\">num_data04<\/span> <span class=\"o\">=<\/span> <span class=\"nb\">len<\/span><span class=\"p\">(<\/span><span class=\"n\">raw_data04_list<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">edit_data04_list<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[]<\/span>\n<span class=\"k\">for<\/span> <span class=\"n\">n<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_data04<\/span><span class=\"p\">):<\/span>\n    <span class=\"n\">edit_data04<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"mi\">1<\/span> <span class=\"k\">if<\/span> <span class=\"n\">raw_data04_list<\/span><span class=\"p\">[<\/span><span class=\"n\">n<\/span><span class=\"p\">][<\/span><span class=\"n\">spin<\/span><span class=\"p\">]<\/span> <span class=\"o\">&gt;=<\/span> <span class=\"mi\">4<\/span> <span class=\"k\">else<\/span> <span class=\"o\">-<\/span><span class=\"mi\">1<\/span> <span class=\"k\">for<\/span> <span class=\"n\">spin<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">)]<\/span>\n    <span class=\"n\">edit_data04_list<\/span><span class=\"o\">.<\/span><span class=\"n\">append<\/span><span class=\"p\">(<\/span><span class=\"n\">edit_data04<\/span><span class=\"p\">)<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"c1\"># \u5b66\u7fd2\u306b\u7528\u3044\u308b\u753b\u50cf\u306e\u8868\u793a<\/span>\n<span class=\"n\">raw_title<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"s1\">'raw-'<\/span> <span class=\"o\">+<\/span> <span class=\"nb\">str<\/span><span class=\"p\">(<\/span><span class=\"n\">num<\/span><span class=\"p\">)<\/span> <span class=\"k\">for<\/span> <span class=\"n\">num<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"mi\">5<\/span><span class=\"p\">)]<\/span>\n<span class=\"n\">edit_title<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"s1\">'edit-'<\/span> <span class=\"o\">+<\/span> <span class=\"nb\">str<\/span><span class=\"p\">(<\/span><span class=\"n\">num<\/span><span class=\"p\">)<\/span> <span class=\"k\">for<\/span> <span class=\"n\">num<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"mi\">5<\/span><span class=\"p\">)]<\/span>\n\n<span class=\"n\">show_img<\/span><span class=\"p\">(<\/span><span class=\"n\">row<\/span><span class=\"o\">=<\/span><span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"n\">col<\/span><span class=\"o\">=<\/span><span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list1<\/span><span class=\"o\">=<\/span><span class=\"n\">raw_data04_list<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list2<\/span><span class=\"o\">=<\/span><span class=\"n\">edit_data04_list<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">title_list1<\/span><span class=\"o\">=<\/span><span class=\"n\">raw_title<\/span><span class=\"p\">,<\/span> <span class=\"n\">title_list2<\/span><span class=\"o\">=<\/span><span class=\"n\">edit_title<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">subtitle<\/span><span class=\"o\">=<\/span><span class=\"s2\">\"\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">subtitlesize<\/span><span class=\"o\">=<\/span><span class=\"mi\">20<\/span><span class=\"p\">,<\/span> <span class=\"n\">figsize<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mi\">10<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt\"><\/div>\n<div class=\"output_png output_subarea \"><img decoding=\"async\" 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\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u6b21\u306b\u3001\u6b20\u640d\u306e\u3042\u308b\u753b\u50cf\u3092\u7528\u610f\u3057\u307e\u3059\u300264\u30d3\u30c3\u30c8\u306e\u753b\u50cf\u306b\u5bfe\u3057\u3066\u3001\u534a\u5206\u306e32\u30d3\u30c3\u30c8\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u9078\u30730\u306b\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">target_num<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">3<\/span>\n<span class=\"n\">loss_data<\/span> <span class=\"o\">=<\/span> <span class=\"n\">edit_data04_list<\/span><span class=\"p\">[<\/span><span class=\"n\">target_num<\/span><span class=\"p\">]<\/span><span class=\"o\">.<\/span><span class=\"n\">copy<\/span><span class=\"p\">()<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"kn\">import<\/span> <span class=\"nn\">random<\/span>\n\n<span class=\"n\">loss_spin_list<\/span> <span class=\"o\">=<\/span> <span class=\"n\">random<\/span><span class=\"o\">.<\/span><span class=\"n\">sample<\/span><span class=\"p\">(<\/span><span class=\"nb\">list<\/span><span class=\"p\">(<\/span><span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">arange<\/span><span class=\"p\">(<\/span><span class=\"mi\">64<\/span><span class=\"p\">)),<\/span> <span class=\"mi\">32<\/span><span class=\"p\">)<\/span>\n<span class=\"k\">for<\/span> <span class=\"n\">spin<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">loss_spin_list<\/span><span class=\"p\">:<\/span>\n    <span class=\"n\">loss_data<\/span><span class=\"p\">[<\/span><span class=\"n\">spin<\/span><span class=\"p\">]<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">0<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u3053\u3053\u3067\u3001\u5143\u306e\u753b\u50cf\u3068\u6b20\u640d\u3057\u305f\u753b\u50cf\u3092\u6bd4\u8f03\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">vs_list<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"n\">edit_data04_list<\/span><span class=\"p\">[<\/span><span class=\"n\">target_num<\/span><span class=\"p\">],<\/span> <span class=\"n\">loss_data<\/span><span class=\"p\">]<\/span>\n<span class=\"n\">show_img<\/span><span class=\"p\">(<\/span><span class=\"n\">row<\/span><span class=\"o\">=<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"n\">col<\/span><span class=\"o\">=<\/span><span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list1<\/span><span class=\"o\">=<\/span><span class=\"n\">vs_list<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list2<\/span><span class=\"o\">=<\/span><span class=\"kc\">None<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">title_list1<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"s1\">'raw'<\/span><span class=\"p\">,<\/span> <span class=\"s1\">'loss'<\/span><span class=\"p\">],<\/span> <span class=\"n\">title_list2<\/span><span class=\"o\">=<\/span><span class=\"kc\">None<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">subtitle<\/span><span class=\"o\">=<\/span><span class=\"s2\">\"raw vs loss\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">subtitlesize<\/span><span class=\"o\">=<\/span><span class=\"mi\">20<\/span><span class=\"p\">,<\/span> <span class=\"n\">figsize<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mi\">8<\/span><span class=\"p\">,<\/span> <span class=\"mi\">4<\/span><span class=\"p\">))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt\"><\/div>\n<div class=\"output_png output_subarea \"><img decoding=\"async\" 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\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u5de6\u304c\u5143\u306e\u753b\u50cf\u3001\u53f3\u304c\u6b20\u640d\u3055\u305b\u305f\u753b\u50cf\u3067\u3059\u3002<\/p>\n<p>\u3053\u3053\u304b\u3089\u306f\u3001\u53f3\u306e\u753b\u50cf\u3092\u5fa9\u5143\u3057\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002\u5fa9\u5143\u3059\u308b\u624b\u9806\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n<ol>\n<li>\u6b20\u640d\u304c\u306a\u3044\u7b87\u6240\u306b\u5c40\u6240\u78c1\u5834[latex]h[\/latex]\u3092\u8a2d\u5b9a\u3059\u308b<\/li>\n<li>\u3053\u306e\u5c40\u6240\u78c1\u5834[latex]h[\/latex]\u3068\u5b66\u7fd2\u6e08\u307f\u306e\u76f8\u4e92\u4f5c\u7528[latex]J[\/latex]\u3092\u5165\u529b\u3057\u3066\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3092\u884c\u3046<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u307e\u305a\u3001\u6b20\u640d\u304c\u306a\u3044\u7b87\u6240\u306b\u5c40\u6240\u78c1\u5834\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002\u4eca\u56de\u306f\u3001\u753b\u7d20\u304c1\u306e\u3068\u304d[latex]h=+1[\/latex]\u3001\u753b\u7d20\u304c-1\u306e\u3068\u304d[latex]h=-1[\/latex]\u306e\u78c1\u5834\u3092\u304b\u3051\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">loss_h<\/span> <span class=\"o\">=<\/span> <span class=\"p\">{<\/span><span class=\"n\">s<\/span><span class=\"p\">:<\/span> <span class=\"n\">loss_data<\/span><span class=\"p\">[<\/span><span class=\"n\">s<\/span><span class=\"p\">]<\/span> <span class=\"k\">for<\/span> <span class=\"n\">s<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">)}<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u3053\u308c\u3067\u3001\u5c40\u6240\u78c1\u5834\u306e\u8a2d\u5b9a\u306f\u7d42\u308f\u308a\u3067\u3059\u3002<\/p>\n<p>\u7d9a\u3044\u3066\u30010-4\u306e\u753b\u50cf\u3092\u5b66\u7fd2\u3057\u305f\u76f8\u4e92\u4f5c\u7528\u3092\u751f\u6210\u3057\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">J_loss_dict<\/span><span class=\"p\">,<\/span> <span class=\"n\">h<\/span> <span class=\"o\">=<\/span> <span class=\"n\">train_model<\/span><span class=\"p\">(<\/span><span class=\"n\">Tall<\/span><span class=\"o\">=<\/span><span class=\"mi\">30<\/span><span class=\"p\">,<\/span> <span class=\"n\">eta<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.001<\/span><span class=\"p\">,<\/span> <span class=\"n\">dataset<\/span><span class=\"o\">=<\/span><span class=\"n\">edit_data04_list<\/span><span class=\"p\">,\n<\/span><span class=\"n\">                             sampler<\/span><span class=\"o\">=<\/span><span class=\"n\">sampler<\/span><span class=\"p\">,<\/span> <span class=\"n\">sample_params<\/span><span class=\"o\">=<\/span><span class=\"p\">{<\/span><span class=\"s1\">'beta'<\/span><span class=\"p\">:<\/span> <span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"s1\">'num_reads'<\/span><span class=\"p\">:<\/span> <span class=\"mi\">100<\/span><span class=\"p\">},<\/span> <span class=\"n\">times<\/span><span class=\"o\">=<\/span><span class=\"mi\">10<\/span><span class=\"p\">)<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u6700\u5f8c\u306b\u3001\u5c40\u6240\u78c1\u5834\u3068\u5b66\u7fd2\u6e08\u307f\u306e\u76f8\u4e92\u4f5c\u7528\u3092\u5165\u529b\u3057\u3066\u753b\u50cf\u306e\u5fa9\u5143\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">result_list<\/span> <span class=\"o\">=<\/span> <span class=\"n\">vs_list<\/span><span class=\"o\">.<\/span><span class=\"n\">copy<\/span><span class=\"p\">()<\/span>\n<span class=\"k\">for<\/span> <span class=\"n\">k<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">J_loss_dict<\/span><span class=\"o\">.<\/span><span class=\"n\">keys<\/span><span class=\"p\">():<\/span>\n    <span class=\"n\">m_h<\/span> <span class=\"o\">=<\/span> <span class=\"n\">minus_h<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">,<\/span> <span class=\"n\">loss_h<\/span><span class=\"p\">)<\/span>\n    <span class=\"n\">m_J<\/span> <span class=\"o\">=<\/span> <span class=\"n\">minus_J<\/span><span class=\"p\">(<\/span><span class=\"n\">num_spin<\/span><span class=\"p\">,<\/span> <span class=\"n\">J_loss_dict<\/span><span class=\"p\">[<\/span><span class=\"n\">k<\/span><span class=\"p\">])<\/span>\n    <span class=\"n\">sampleset<\/span> <span class=\"o\">=<\/span> <span class=\"n\">sampler<\/span><span class=\"o\">.<\/span><span class=\"n\">sample_ising<\/span><span class=\"p\">(<\/span><span class=\"n\">h<\/span><span class=\"o\">=<\/span><span class=\"n\">m_h<\/span><span class=\"p\">,<\/span> <span class=\"n\">J<\/span><span class=\"o\">=<\/span><span class=\"n\">m_J<\/span><span class=\"p\">,<\/span> <span class=\"n\">num_reads<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">)<\/span>\n    <span class=\"n\">result_list<\/span><span class=\"o\">.<\/span><span class=\"n\">append<\/span><span class=\"p\">(<\/span><span class=\"nb\">list<\/span><span class=\"p\">(<\/span><span class=\"n\">sampleset<\/span><span class=\"o\">.<\/span><span class=\"n\">first<\/span><span class=\"o\">.<\/span><span class=\"n\">sample<\/span><span class=\"o\">.<\/span><span class=\"n\">values<\/span><span class=\"p\">()))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing text_cell rendered\">\n<div class=\"inner_cell\">\n<div class=\"text_cell_render border-box-sizing rendered_html\">\n<p>\u7d50\u679c\u3092\u8868\u793a\u3055\u305b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"n\">times_title<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"s1\">'raw'<\/span><span class=\"p\">,<\/span> <span class=\"s1\">'loss'<\/span><span class=\"p\">]<\/span> <span class=\"o\">+<\/span> <span class=\"p\">[<\/span><span class=\"nb\">str<\/span><span class=\"p\">(<\/span><span class=\"n\">k<\/span><span class=\"p\">)<\/span> <span class=\"o\">+<\/span> <span class=\"s1\">'-times'<\/span> <span class=\"k\">for<\/span> <span class=\"n\">k<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">J_loss_dict<\/span><span class=\"o\">.<\/span><span class=\"n\">keys<\/span><span class=\"p\">()]<\/span>\n<span class=\"n\">show_img<\/span><span class=\"p\">(<\/span><span class=\"n\">row<\/span><span class=\"o\">=<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"n\">col<\/span><span class=\"o\">=<\/span><span class=\"mi\">2<\/span> <span class=\"o\">+<\/span> <span class=\"nb\">len<\/span><span class=\"p\">(<\/span><span class=\"n\">J_loss_dict<\/span><span class=\"p\">),<\/span> <span class=\"n\">img_list1<\/span><span class=\"o\">=<\/span><span class=\"n\">result_list<\/span><span class=\"p\">,<\/span> <span class=\"n\">img_list2<\/span><span class=\"o\">=<\/span><span class=\"s1\">''<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">title_list1<\/span><span class=\"o\">=<\/span><span class=\"n\">times_title<\/span><span class=\"p\">,<\/span> <span class=\"n\">title_list2<\/span><span class=\"o\">=<\/span><span class=\"s1\">''<\/span><span class=\"p\">,<\/span>\n         <span class=\"n\">subtitle<\/span><span class=\"o\">=<\/span><span class=\"s2\">\"\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">subtitlesize<\/span><span class=\"o\">=<\/span><span class=\"mi\">24<\/span><span class=\"p\">,<\/span> <span class=\"n\">figsize<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mi\">14<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">))<\/span>\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"prompt\"><\/div>\n<div class=\"output_png output_subarea \"><img decoding=\"async\" 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