

{"id":2761,"date":"2022-02-23T19:13:57","date_gmt":"2022-02-23T10:13:57","guid":{"rendered":"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/?p=2761"},"modified":"2022-02-23T19:13:57","modified_gmt":"2022-02-23T10:13:57","slug":"%e9%87%8f%e5%ad%90%e3%82%a2%e3%83%8b%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e7%b5%a6%e9%a3%9f%e3%81%ae%e7%8c%ae%e7%ab%8b%e6%8f%90%e6%a1%88%e5%89%8d%e5%8d%8a","status":"publish","type":"post","link":"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e9%87%8f%e5%ad%90%e3%82%a2%e3%83%8b%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e7%b5%a6%e9%a3%9f%e3%81%ae%e7%8c%ae%e7%ab%8b%e6%8f%90%e6%a1%88%e5%89%8d%e5%8d%8a\/","title":{"rendered":"\u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u3092\u7528\u3044\u305f\u7d66\u98df\u306e\u732e\u7acb\u63d0\u6848(\u524d\u534a)-\u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u30b3\u30f3\u30c6\u30b9\u30c8"},"content":{"rendered":"<p><a href=\"https:\/\/colab.research.google.com\/github\/T-QARD\/t-wave\/blob\/main\/notebooks\/CoQ\/CoQ_BM.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\">\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-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e9%87%8f%e5%ad%90%e3%82%a2%e3%83%8b%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e7%b5%a6%e9%a3%9f%e3%81%ae%e7%8c%ae%e7%ab%8b%e6%8f%90%e6%a1%88%e5%89%8d%e5%8d%8a\/#%E7%B5%A6%E9%A3%9F%E3%81%AE%E7%8C%AE%E7%AB%8B%E6%8F%90%E6%A1%88%E5%89%8D%E5%8D%8A_%E2%80%93_%E9%87%8F%E5%AD%90%E3%82%A2%E3%83%8B%E3%83%BC%E3%83%AA%E3%83%B3%E3%82%B0%E3%82%BD%E3%83%AA%E3%83%A5%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88\" >\u7d66\u98df\u306e\u732e\u7acb\u63d0\u6848(\u524d\u534a) &#8211; \u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u30b3\u30f3\u30c6\u30b9\u30c8<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" 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href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e9%87%8f%e5%ad%90%e3%82%a2%e3%83%8b%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e7%b5%a6%e9%a3%9f%e3%81%ae%e7%8c%ae%e7%ab%8b%e6%8f%90%e6%a1%88%e5%89%8d%e5%8d%8a\/#%E3%82%BD%E3%83%AA%E3%83%A5%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3\" >\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3<\/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\/%e9%87%8f%e5%ad%90%e3%82%a2%e3%83%8b%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e7%b5%a6%e9%a3%9f%e3%81%ae%e7%8c%ae%e7%ab%8b%e6%8f%90%e6%a1%88%e5%89%8d%e5%8d%8a\/#%E7%8C%AE%E7%AB%8B%E3%83%87%E3%83%BC%E3%82%BF%E3%81%AE%E5%AD%A6%E7%BF%92\" >\u732e\u7acb\u30c7\u30fc\u30bf\u306e\u5b66\u7fd2<\/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\/%e9%87%8f%e5%ad%90%e3%82%a2%e3%83%8b%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e7%b5%a6%e9%a3%9f%e3%81%ae%e7%8c%ae%e7%ab%8b%e6%8f%90%e6%a1%88%e5%89%8d%e5%8d%8a\/#%E7%8C%AE%E7%AB%8B%E3%81%AE%E6%8F%90%E6%A1%88\" >\u732e\u7acb\u306e\u63d0\u6848<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e9%87%8f%e5%ad%90%e3%82%a2%e3%83%8b%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e7%b5%a6%e9%a3%9f%e3%81%ae%e7%8c%ae%e7%ab%8b%e6%8f%90%e6%a1%88%e5%89%8d%e5%8d%8a\/#%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-8\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e9%87%8f%e5%ad%90%e3%82%a2%e3%83%8b%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e7%b5%a6%e9%a3%9f%e3%81%ae%e7%8c%ae%e7%ab%8b%e6%8f%90%e6%a1%88%e5%89%8d%e5%8d%8a\/#%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-9\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e9%87%8f%e5%ad%90%e3%82%a2%e3%83%8b%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e7%b5%a6%e9%a3%9f%e3%81%ae%e7%8c%ae%e7%ab%8b%e6%8f%90%e6%a1%88%e5%89%8d%e5%8d%8a\/#%E5%AE%9A%E5%BC%8F%E5%8C%96\" >\u5b9a\u5f0f\u5316<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" 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href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e9%87%8f%e5%ad%90%e3%82%a2%e3%83%8b%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e7%b5%a6%e9%a3%9f%e3%81%ae%e7%8c%ae%e7%ab%8b%e6%8f%90%e6%a1%88%e5%89%8d%e5%8d%8a\/#%E3%81%BE%E3%81%A8%E3%82%81\" >\u307e\u3068\u3081<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/%e9%87%8f%e5%ad%90%e3%82%a2%e3%83%8b%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e7%b5%a6%e9%a3%9f%e3%81%ae%e7%8c%ae%e7%ab%8b%e6%8f%90%e6%a1%88%e5%89%8d%e5%8d%8a\/#%E6%9C%AC%E8%A8%98%E4%BA%8B%E3%81%AE%E6%8B%85%E5%BD%93%E8%80%85\" >\u672c\u8a18\u4e8b\u306e\u62c5\u5f53\u8005<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"%E7%B5%A6%E9%A3%9F%E3%81%AE%E7%8C%AE%E7%AB%8B%E6%8F%90%E6%A1%88%E5%89%8D%E5%8D%8A_%E2%80%93_%E9%87%8F%E5%AD%90%E3%82%A2%E3%83%8B%E3%83%BC%E3%83%AA%E3%83%B3%E3%82%B0%E3%82%BD%E3%83%AA%E3%83%A5%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88\"><\/span>\u7d66\u98df\u306e\u732e\u7acb\u63d0\u6848(\u524d\u534a) &#8211; \u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u30b3\u30f3\u30c6\u30b9\u30c8<span class=\"ez-toc-section-end\"><\/span><\/h1>\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<p>2021\/12\/19\u306b\u884c\u308f\u308c\u305f<a href=\"http:\/\/www.tfc.tohoku.ac.jp\/special\/qca\/20211218.html\">\u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u30b3\u30f3\u30c6\u30b9\u30c8<\/a>\u306b\u3001T-QARD-949\u3068\u3057\u3066\u53c2\u52a0\u3057\u307e\u3057\u305f\u3002<br \/>\n\u6b8b\u5ff5\u306a\u304c\u3089\u5165\u8cde\u306f\u51fa\u6765\u307e\u305b\u3093\u3067\u3057\u305f\u304c\u3001\u591a\u304f\u306e\u65b9\u306b\u52d5\u753b\u3092\u898b\u3066\u9802\u3051\u3066\u5b09\u3057\u304b\u3063\u305f\u3067\u3059\u3002\u305d\u306e\u52d5\u753b\u306f\u3053\u3061\u3089\u304b\u3089\u3054\u89a7\u51fa\u6765\u307e\u3059\u3002<\/p>\n<p><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/BqTC-FUMWc8\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>\u672c\u8a18\u4e8b\u3067\u306f\u3001\u52d5\u753b\u3067\u306f\u8aac\u660e\u3057\u304d\u308c\u306a\u304b\u3063\u305f\u5b9f\u88c5\u90e8\u5206\u306b\u91cd\u70b9\u3092\u5f53\u3066\u3066\u89e3\u8aac\u3057\u3066\u3044\u304d\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%95%8F%E9%A1%8C\"><\/span>\u554f\u984c<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u7d66\u98df\u306f\u6804\u990a\u30d0\u30e9\u30f3\u30b9\u306e\u4ed6\u306b\u3082\u3001\u591a\u304f\u306e\u5236\u7d04\u3092\u8003\u616e\u3057\u3066\u4f5c\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-2790\" src=\"\/T-Wave\/wp-content\/uploads\/2022\/02\/fig1.png\" alt=\"\" width=\"720\" height=\"405\"><\/p>\n<p>\u3053\u308c\u3089\u306e\u5236\u7d04\u3092\u3059\u3079\u3066\u6e80\u305f\u3059\u732e\u7acb\u3092\u6bce\u6708\u4f5c\u6210\u3059\u308b\u306e\u306f\u304b\u306a\u308a\u5927\u5909\u3067\u3059\u3002\u5b9f\u969b\u3001\u7d66\u98df\u306e\u732e\u7acb\u4f5c\u6210\u6642\u9593\u306b\u3064\u3044\u3066\u6b21\u306e\u3088\u3046\u306a\u30c7\u30fc\u30bf\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th><\/th>\n<th style=\"text-align: center;\">\u4eba\u6570<\/th>\n<th style=\"text-align: center;\">\u3000\u5e73\u5747\u00b1\u6a19\u6e96\u504f\u5dee(\u6642\u9593\/\u9031)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u7ba1\u7406\u6804\u990a\u58eb<\/td>\n<td style=\"text-align: center;\">20<\/td>\n<td style=\"text-align: center;\">\u30008.0\u00b16.5<\/td>\n<\/tr>\n<tr>\n<td>\u6804\u990a\u58eb<\/td>\n<td style=\"text-align: center;\">26<\/td>\n<td style=\"text-align: center;\">\u30007.7\u00b16.6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>[\u53c2\u8003\u8cc7\u6599]<br \/>\n<a href=\"https:\/\/core.ac.uk\/download\/pdf\/230128196.pdf\">\u7d66\u98df\u65bd\u8a2d\u306b\u304a\u3051\u308b\u732e\u7acb\u4f5c\u6210\u696d\u52d9\u5b9f\u614b\u8abf\u67fb\u3000-\u4f5c\u696d\u306e\u6240\u8981\u6642\u9593\u3068\u6a19\u6e96\u5316\u306b\u5411\u3051\u3066- \/ \u5927\u4e2d\u4f73\u5b50\u3000\u4ed6<\/a><\/p>\n<p>\u3053\u306e\u3088\u3046\u306b\u3001\u732e\u7acb\u4f5c\u6210\u306b\u306f\u90318\u6642\u9593\u307b\u3069\u306e\u4f5c\u696d\u6642\u9593\u304c\u5fc5\u8981\u3067\u3059\u3002\u6211\u3005\u304c\u63d0\u6848\u3059\u308b\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u306f\u3001\u3053\u306e\u6642\u9593\u3092\u5927\u5e45\u306b\u6539\u5584\u3067\u304d\u308b\u3068\u8003\u3048\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=\"%E3%82%BD%E3%83%AA%E3%83%A5%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3\"><\/span>\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u6211\u3005\u306f\u3001\u30a2\u30d7\u30ea\u540d\u3092CoQ(Combination of C(Q)ooking)\u3055\u3093\u3068\u540d\u4ed8\u3051\u307e\u3057\u305f\u3002\u3053\u3053\u3067\u306f\u3001CoQ\u3055\u3093\u306e\u5168\u4f53\u50cf\u3092\u793a\u3057\u307e\u3059\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-2791\" src=\"\/T-Wave\/wp-content\/uploads\/2022\/02\/fig2.png\" alt=\"\" width=\"720\" height=\"405\"><\/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%8C%AE%E7%AB%8B%E3%83%87%E3%83%BC%E3%82%BF%E3%81%AE%E5%AD%A6%E7%BF%92\"><\/span>\u732e\u7acb\u30c7\u30fc\u30bf\u306e\u5b66\u7fd2<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u30dc\u30eb\u30c4\u30de\u30f3\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u3066\u3001\u7d66\u98df\u306e\u732e\u7acb\u3092\u5b66\u7fd2\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-2792\" src=\"\/T-Wave\/wp-content\/uploads\/2022\/02\/fig3.png\" alt=\"\" width=\"720\" height=\"405\"><\/p>\n<p>QUBO\u884c\u5217\u3092D-Wave\u30de\u30b7\u30f3\u306b\u5165\u529b\u3059\u308b\u3068\u3001\u30ae\u30d6\u30b9\u30fb\u30dc\u30eb\u30c4\u30de\u30f3\u5206\u5e03\u306b\u8fd1\u3044\u89e3\u5019\u88dc\u304c\u51fa\u529b\u3055\u308c\u307e\u3059\u3002\u305d\u306e\u51fa\u529b\u7d50\u679c\u3092\u7528\u3044\u3066\u3001\u732e\u7acb\u30c7\u30fc\u30bf\u306e\u7d4c\u9a13\u5206\u5e03\u306b\u30ae\u30d6\u30b9\u30fb\u30dc\u30eb\u30c4\u30de\u30f3\u5206\u5e03\u304c\u8fd1\u3065\u304f\u3088\u3046\u306bQUBO\u884c\u5217(\u30dc\u30eb\u30c4\u30de\u30f3\u30de\u30b7\u30f3\u306e\u30d1\u30e9\u30e1\u30fc\u30bf)\u3092\u66f4\u65b0\u3057\u3001\u3053\u306e\u64cd\u4f5c\u3092\u7e70\u308a\u8fd4\u3057\u307e\u3059\u3002<\/p>\n<p>\u6700\u5f8c\u306b\u5b66\u7fd2\u6e08\u307f\u306eQUBO\u884c\u5217\u3092\u7528\u3044\u3066\u3001\u98df\u6750\u306e\u7d44\u307f\u5408\u308f\u305b\u3092\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3057\u307e\u3059\u3002<\/p>\n<p>\u672c\u8a18\u4e8b\u306f<a href=\"https:\/\/colab.research.google.com\/gist\/mohzeki222\/9693bf93bf10c9966a123d89554baa1a\/chapter4.ipynb\">\u3053\u3061\u3089<\/a>\u306e\u30b3\u30fc\u30c9\u3092\u53c2\u8003\u306b\u3057\u3066\u3044\u307e\u3059\u3002\u5b66\u7fd2\u65b9\u6cd5\u306b\u3064\u3044\u3066\u3088\u308a\u304f\u308f\u3057\u304f\u77e5\u308a\u305f\u3044\u65b9\u306f\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E7%8C%AE%E7%AB%8B%E3%81%AE%E6%8F%90%E6%A1%88\"><\/span>\u732e\u7acb\u306e\u63d0\u6848<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u81ea\u5df1\u7d44\u7e54\u5316\u30de\u30c3\u30d7\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u8a18\u4e8b\u3067\u8a73\u3057\u304f\u89e3\u8aac\u3059\u308b\u305f\u3081\u7701\u7565\u3057\u307e\u3059\u3002\u672c\u8a18\u4e8b\u3067\u306f\u3001\u30dc\u30eb\u30c4\u30de\u30f3\u6a5f\u68b0\u5b66\u7fd2\u306e\u90e8\u5206\u3092\u89e3\u8aac\u3057\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<p>\u307e\u305a\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 pandas\n<span class=\"o\">!<\/span>pip install tqdm\n<span class=\"o\">!<\/span>pip install dwave-ocean-sdk\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\">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<span class=\"kn\">import<\/span> <span class=\"nn\">pandas<\/span> <span class=\"k\">as<\/span> <span class=\"nn\">pd<\/span>\n<span class=\"kn\">from<\/span> <span class=\"nn\">tqdm<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">tqdm<\/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<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<p>\u6211\u3005\u306f\u3001\u4ed9\u53f0\u5e02\u304c\u516c\u958b\u3057\u3066\u3044\u308b\u7d66\u98df\u306e\u732e\u7acb\u3092\u5bfe\u8c61\u306b\u5b9f\u9a13\u3092\u884c\u3044\u307e\u3057\u305f\u3002\u732e\u7acb\u306f<a href=\"http:\/\/www.city.sendai.jp\/kyushokune\/kurashi\/manabu\/kyoiku\/inkai\/kanren\/kyushoku\/kyushoku\/kongetsu.html\">\u3053\u3061\u3089<\/a>\u3067\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u300c\u4f7f\u3046\u98df\u6750\u3068\u305d\u306e\u8abf\u7406\u65b9\u6cd5\u300d \u2192 1<\/li>\n<li>\u300c\u4f7f\u308f\u306a\u3044\u98df\u6750\u300d \u2192 0<\/li>\n<\/ul>\n<p>\u3068\u3057\u3066\u3001\u732e\u7acb\u30c7\u30fc\u30bf\u306eCSV\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3057\u305f\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>wget <span class=\"s2\">\"https:\/\/raw.githubusercontent.com\/T-QARD\/t-wave\/main\/notebooks\/CoQ\/school_lunch_sendai.csv\"<\/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\">df_data<\/span> <span class=\"o\">=<\/span> <span class=\"n\">pd<\/span><span class=\"o\">.<\/span><span class=\"n\">read_csv<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"school_lunch_sendai.csv\"<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">D<\/span> <span class=\"o\">=<\/span> <span class=\"n\">df_data<\/span><span class=\"o\">.<\/span><span class=\"n\">values<\/span><span class=\"o\">.<\/span><span class=\"n\">astype<\/span><span class=\"p\">(<\/span><span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">int8<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">df_data<\/span><span class=\"o\">.<\/span><span class=\"n\">head<\/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=\"output_html rendered_html output_subarea output_execute_result\">\n<div>\n<style scoped=\"\">\n    .dataframe tbody tr th:only-of-type {<br \/>        vertical-align: middle;<br \/>    }<\/p>\n<p>    .dataframe tbody tr th {<br \/>        vertical-align: top;<br \/>    }<\/p>\n<p>    .dataframe thead th {<br \/>        text-align: right;<br \/>    }<br \/><\/style>\n<table class=\"dataframe\" border=\"1\">\n<thead>\n<tr style=\"text-align: right;\">\n<th><\/th>\n<th>\u713c\u304f<\/th>\n<th>\u7092\u3081\u308b<\/th>\n<th>\u63da\u3052\u308b<\/th>\n<th>\u716e\u308b<\/th>\n<th>\u751f<\/th>\n<th>\u713c\u304f.1<\/th>\n<th>\u7092\u3081\u308b.1<\/th>\n<th>\u63da\u3052\u308b.1<\/th>\n<th>\u548c\u3048\u308b<\/th>\n<th>\u716e\u308b.1<\/th>\n<th>&#8230;<\/th>\n<th>\u304d\u3085\u3046\u308a<\/th>\n<th>\u30ad\u30e3\u30d9\u30c4<\/th>\n<th>\u3068\u3046\u3082\u308d\u3053\u3057<\/th>\n<th>\u305f\u307e\u306d\u304e<\/th>\n<th>\u3048\u3060\u307e\u3081<\/th>\n<th>\u304d\u304f\u3089\u3052<\/th>\n<th>\u30b0\u30ea\u30f3\u30d4\u30fc\u30b9<\/th>\n<th>\u3058\u3083\u304c\u3044\u3082<\/th>\n<th>\u3055\u3064\u307e\u3044\u3082<\/th>\n<th>\u306f\u308b\u3055\u3081<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<th>0<\/th>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>&#8230;<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<th>1<\/th>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>&#8230;<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<th>2<\/th>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>&#8230;<\/td>\n<td>1<\/td>\n<td>1<\/td>\n<td>1<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<th>3<\/th>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>&#8230;<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<th>4<\/th>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>&#8230;<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>1<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>5 rows \u00d7 79 columns<\/p>\n<\/div>\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\">N<\/span><span class=\"p\">,<\/span> <span class=\"n\">M<\/span> <span class=\"o\">=<\/span> <span class=\"n\">D<\/span><span class=\"o\">.<\/span><span class=\"n\">shape<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"sa\">f<\/span><span class=\"s1\">'\u30c7\u30fc\u30bf\u306e\u6570 N: <\/span><span class=\"si\">{<\/span><span class=\"n\">N<\/span><span class=\"si\">}<\/span><span class=\"s1\">, \u98df\u6750\u306e\u6570 M: <\/span><span class=\"si\">{<\/span><span class=\"n\">M<\/span><span class=\"si\">}<\/span><span class=\"s1\">'<\/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_subarea output_stream output_stdout output_text\">\n<pre>\u30c7\u30fc\u30bf\u306e\u6570 N: 24, \u98df\u6750\u306e\u6570 M: 79\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=\"%E5%AE%9A%E5%BC%8F%E5%8C%96\"><\/span>\u5b9a\u5f0f\u5316<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u7f70\u91d1\u9805\u306f\u6b21\u306e\uff14\u3064\u3067\u3059\u3002<\/p>\n<ol>\n<li>\u4e3b\u83dc\u306e\u8abf\u7406\u65b9\u6cd5(\u713c\u304f\u3001\u7092\u3081\u308b\u3001\u63da\u3052\u308b\u3001\u716e\u308b)\u30fb\u30fb\u30fb\uff11\u3064\u9078\u629e<\/li>\n<li>\u526f\u83dc\u306e\u8abf\u7406\u65b9\u6cd5(\u751f\u3001\u713c\u304f\u3001\u7092\u3081\u308b\u3001\u63da\u3052\u308b\u3001\u548c\u3048\u308b\u3001\u716e\u308b\u3001\u306a\u3057)\u30fb\u30fb\u30fb\uff11\u3064\u9078\u629e<\/li>\n<li>\u6c41\u7269or\u30c7\u30b6\u30fc\u30c8\u30fb\u30fb\u30fb\uff11\u3064\u9078\u629e<\/li>\n<li>\u4e3b\u98df\uff08\u3054\u306f\u3093\u3001\u9ea6\u3054\u306f\u3093\u3001\u30d1\u30f3\uff09\u30fb\u30fb\u30fb\uff11\u3064\u9078\u629e<\/li>\n<\/ol>\n<p>\u5f93\u3063\u3066\u3001\u30b3\u30b9\u30c8\u95a2\u6570\u306f\u6b21\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<p>\\begin{aligned}<br \/>\nE(\\mathbf{x}) &amp;= \\sum_{m}\\sum_{n} Q_{mn} x_{m} x_{n} \\\\<br \/>\n&amp;+ \\lambda \\left( x_0+x_1+x_2+x_3 -1 \\right)^2 \\\\<br \/>\n&amp;+ \\lambda \\left( x_4+x_5+x_6+x_6+x_7+x_8+x_9 &#8211; 1\\right)^2 \\\\<br \/>\n&amp;+ \\lambda \\left( x_{10}+x_{11} &#8211; 1\\right)^2 \\\\<br \/>\n&amp;+ \\lambda\\left( x_{12}+x_{13}+x_{14} -1 \\right)^2 \\\\<br \/>\n\\end{aligned}<\/p>\n<p>\u307e\u305a\u3001\u7f70\u91d1\u9805\u306e\u90e8\u5206\u3092\u4f5c\u308a\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=\"k\">def<\/span> <span class=\"nf\">calc_penalty_term<\/span><span class=\"p\">(<\/span><span class=\"n\">M<\/span><span class=\"p\">,<\/span> <span class=\"n\">lam<\/span><span class=\"p\">):<\/span>\n    <span class=\"sd\">\"\"\"<\/span>\n<span class=\"sd\">    M: \u98df\u6750\u306e\u6570<\/span>\n<span class=\"sd\">    lam: \u7f70\u91d1\u9805\u306e\u91cd\u307f<\/span>\n<span class=\"sd\">    \"\"\"<\/span>\n    <span class=\"n\">index_slices<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span>\n        <span class=\"p\">(<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span> <span class=\"mi\">4<\/span><span class=\"p\">),<\/span>  <span class=\"c1\"># \u4e3b\u83dc\u306e\u8abf\u7406\u65b9\u6cd5<\/span>\n        <span class=\"p\">(<\/span><span class=\"mi\">4<\/span><span class=\"p\">,<\/span> <span class=\"mi\">11<\/span><span class=\"p\">),<\/span>  <span class=\"c1\"># \u526f\u83dc\u306e\u8abf\u7406\u65b9\u6cd5<\/span>\n        <span class=\"p\">(<\/span><span class=\"mi\">11<\/span><span class=\"p\">,<\/span> <span class=\"mi\">13<\/span><span class=\"p\">),<\/span>  <span class=\"c1\"># \u6c41\u7269or\u30c7\u30b6\u30fc\u30c8<\/span>\n        <span class=\"p\">(<\/span><span class=\"mi\">13<\/span><span class=\"p\">,<\/span> <span class=\"mi\">16<\/span><span class=\"p\">)<\/span>  <span class=\"c1\"># \u4e3b\u98df(\u3054\u306f\u3093\u3001\u9ea6\u3054\u98ef\u3001\u30d1\u30f3)<\/span>\n    <span class=\"p\">]<\/span>\n\n    <span class=\"n\">Qc<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">zeros<\/span><span class=\"p\">((<\/span><span class=\"n\">M<\/span><span class=\"p\">,<\/span> <span class=\"n\">M<\/span><span class=\"p\">))<\/span>\n    <span class=\"k\">for<\/span> <span class=\"n\">b<\/span><span class=\"p\">,<\/span> <span class=\"n\">e<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">index_slices<\/span><span class=\"p\">:<\/span>\n        <span class=\"k\">for<\/span> <span class=\"n\">m<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">range<\/span><span class=\"p\">(<\/span><span class=\"n\">b<\/span><span class=\"p\">,<\/span> <span class=\"n\">e<\/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\">b<\/span><span class=\"p\">,<\/span> <span class=\"n\">e<\/span><span class=\"p\">):<\/span>\n                <span class=\"n\">Qc<\/span><span class=\"p\">[<\/span><span class=\"n\">m<\/span><span class=\"p\">,<\/span> <span class=\"n\">n<\/span><span class=\"p\">]<\/span> <span class=\"o\">+=<\/span> <span class=\"n\">lam<\/span>\n                <span class=\"k\">if<\/span> <span class=\"n\">m<\/span> <span class=\"o\">==<\/span> <span class=\"n\">n<\/span><span class=\"p\">:<\/span>\n                    <span class=\"n\">Qc<\/span><span class=\"p\">[<\/span><span class=\"n\">m<\/span><span class=\"p\">,<\/span> <span class=\"n\">n<\/span><span class=\"p\">]<\/span> <span class=\"o\">+=<\/span> <span class=\"o\">-<\/span><span class=\"mi\">2<\/span><span class=\"o\">*<\/span><span class=\"n\">lam<\/span>\n    <span class=\"k\">return<\/span> <span class=\"n\">Qc<\/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\u306e\u95a2\u6570\u3092\u5b9f\u884c\u3057\u3066\u3001\u73fe\u5728\u306eQUBO\u884c\u5217\u3092\u898b\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\">Qc<\/span> <span class=\"o\">=<\/span> <span class=\"n\">calc_penalty_term<\/span><span class=\"p\">(<\/span><span class=\"n\">M<\/span><span class=\"p\">,<\/span> <span class=\"n\">lam<\/span><span class=\"o\">=<\/span><span class=\"mf\">1.0<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">plt<\/span><span class=\"o\">.<\/span><span class=\"n\">imshow<\/span><span class=\"p\">(<\/span><span class=\"n\">Qc<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">plt<\/span><span class=\"o\">.<\/span><span class=\"n\">colorbar<\/span><span class=\"p\">()<\/span>\n<span class=\"n\">plt<\/span><span class=\"o\">.<\/span><span class=\"n\">show<\/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>\u7f70\u91d1\u9805\u3060\u3051\u304c\u8868\u308c\u3066\u3044\u308bQUBO\u884c\u5217\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%8C%AE%E7%AB%8B%E3%83%87%E3%83%BC%E3%82%BF%E3%81%AE%E5%AD%A6%E7%BF%92-2\"><\/span>\u732e\u7acb\u30c7\u30fc\u30bf\u306e\u5b66\u7fd2<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>QUBO\u884c\u5217\u306e\u66f4\u65b0\u306f\u6b21\u5f0f\u3067\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<p>\\begin{equation}<br \/>\nQ_{mn} = Q_{mn} &#8211; \\eta\\left( \\frac{1}{N}\\sum_{i=1}^N D_{im}D_{in} &#8211; \\frac{1}{N^{\\prime}} \\sum_{i=1}^{N^{\\prime}} x_{im}x_{in}\\right)<br \/>\n\\end{equation}<\/p>\n<ul>\n<li>[latex]D[\/latex]\uff1a\u732e\u7acb\u30c7\u30fc\u30bf<\/li>\n<li>[latex]\\mathbf{x}[\/latex]\uff1a\u30b5\u30f3\u30d7\u30eb<\/li>\n<li>[latex]\\frac{1}{N} \\sum_{i=1}^{N} Z_{i m} Z_{i n}[\/latex]\uff1a\u30c7\u30fc\u30bf\u306b\u95a2\u3059\u308b\u7d4c\u9a13\u5e73\u5747<\/li>\n<li>[latex]\\frac{1}{N^{\\prime}} \\sum_{i=1}^{N^{\\prime}} x_{i m} x_{i n}[\/latex]\uff1a\u30b5\u30f3\u30d7\u30eb\u306b\u95a2\u3059\u308b\u7d4c\u9a13\u5e73\u5747<\/li>\n<li>[latex]\\eta[\/latex]\uff1a\u5b66\u7fd2\u7387<\/li>\n<\/ul>\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=\"k\">def<\/span> <span class=\"nf\">train_model<\/span><span class=\"p\">(<\/span><span class=\"n\">Qc<\/span><span class=\"p\">,<\/span> <span class=\"n\">D<\/span><span class=\"p\">,<\/span> <span class=\"n\">eta<\/span><span class=\"p\">,<\/span> <span class=\"n\">Tall<\/span><span class=\"p\">,<\/span> <span class=\"n\">sampler<\/span><span class=\"p\">,<\/span> <span class=\"o\">**<\/span><span class=\"n\">sample_params<\/span><span class=\"p\">):<\/span>\n    <span class=\"sd\">\"\"\"<\/span>\n<span class=\"sd\">    Qc: QUBO\u884c\u5217(\u30e2\u30c7\u30eb\u306e\u521d\u671f\u30d1\u30e9\u30e1\u30fc\u30bf)<\/span>\n<span class=\"sd\">    D: \u732e\u7acb\u30c7\u30fc\u30bf<\/span>\n<span class=\"sd\">    eta: \u5b66\u7fd2\u7387<\/span>\n<span class=\"sd\">    Tall: \u5b66\u7fd2\u56de\u6570<\/span>\n<span class=\"sd\">    sampler: \u30b5\u30f3\u30d7\u30e9\u30fc<\/span>\n<span class=\"sd\">    \"\"\"<\/span>\n\n    <span class=\"c1\"># \u30c7\u30fc\u30bf\u306b\u95a2\u3059\u308b\u7d4c\u9a13\u5e73\u5747<\/span>\n    <span class=\"n\">Dmat<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">dot<\/span><span class=\"p\">(<\/span><span class=\"n\">D<\/span><span class=\"o\">.<\/span><span class=\"n\">T<\/span><span class=\"p\">,<\/span> <span class=\"n\">D<\/span><span class=\"p\">)<\/span><span class=\"o\">\/<\/span><span class=\"nb\">len<\/span><span class=\"p\">(<\/span><span class=\"n\">D<\/span><span class=\"p\">)<\/span>\n\n    <span class=\"n\">Q<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">zeros<\/span><span class=\"p\">(<\/span><span class=\"n\">Qc<\/span><span class=\"o\">.<\/span><span class=\"n\">shape<\/span><span class=\"p\">)<\/span>\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=\"n\">Qmat<\/span> <span class=\"o\">=<\/span> <span class=\"n\">Q<\/span> <span class=\"o\">+<\/span> <span class=\"n\">Qc<\/span>\n        <span class=\"n\">sampleset<\/span> <span class=\"o\">=<\/span> <span class=\"n\">sampler<\/span><span class=\"o\">.<\/span><span class=\"n\">sample_qubo<\/span><span class=\"p\">(<\/span><span class=\"n\">Qmat<\/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\"># \u30b5\u30f3\u30d7\u30eb\u306b\u95a2\u3059\u308b\u7d4c\u9a13\u5e73\u5747<\/span>\n        <span class=\"n\">Xmat<\/span> <span class=\"o\">=<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">dot<\/span><span class=\"p\">(<\/span><span class=\"n\">x<\/span><span class=\"o\">.<\/span><span class=\"n\">T<\/span><span class=\"p\">,<\/span> <span class=\"n\">x<\/span><span class=\"p\">)<\/span><span class=\"o\">\/<\/span><span class=\"nb\">len<\/span><span class=\"p\">(<\/span><span class=\"n\">x<\/span><span class=\"p\">)<\/span>\n\n        <span class=\"c1\"># QUBO\u884c\u5217\u306e\u66f4\u65b0<\/span>\n        <span class=\"n\">Q<\/span> <span class=\"o\">-=<\/span> <span class=\"n\">eta<\/span><span class=\"o\">*<\/span><span class=\"p\">(<\/span><span class=\"n\">Dmat<\/span><span class=\"o\">-<\/span><span class=\"n\">Xmat<\/span><span class=\"p\">)<\/span>\n\n    <span class=\"k\">return<\/span> <span class=\"n\">Qmat<\/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\u732e\u7acb\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=\"c1\"># SA\u306e\u5834\u5408<\/span>\n<span class=\"kn\">from<\/span> <span class=\"nn\">neal<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">SimulatedAnnealingSampler<\/span>\n<span class=\"n\">sampler<\/span> <span class=\"o\">=<\/span> <span class=\"n\">SimulatedAnnealingSampler<\/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 DWaveCliqueSampler<\/span>\n<span class=\"c1\"># sampler = DWaveCliqueSampler(solver='', token='')<\/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\"># MCMC\u306e\u9006\u6e29\u5ea6beta_range\u3092\u8a2d\u5b9a<\/span>\n<span class=\"n\">Qmat<\/span> <span class=\"o\">=<\/span> <span class=\"n\">train_model<\/span><span class=\"p\">(<\/span><span class=\"n\">Qc<\/span><span class=\"p\">,<\/span> <span class=\"n\">D<\/span><span class=\"p\">,<\/span> <span class=\"n\">eta<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.1<\/span><span class=\"p\">,<\/span> <span class=\"n\">Tall<\/span><span class=\"o\">=<\/span><span class=\"mi\">50<\/span><span class=\"p\">,<\/span> <span class=\"n\">sampler<\/span><span class=\"o\">=<\/span><span class=\"n\">sampler<\/span><span class=\"p\">,<\/span> <span class=\"n\">num_reads<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"n\">beta_range<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mi\">32<\/span><span class=\"p\">,<\/span> <span class=\"mi\">32<\/span><span class=\"p\">))<\/span>\n\n<span class=\"n\">plt<\/span><span class=\"o\">.<\/span><span class=\"n\">imshow<\/span><span class=\"p\">(<\/span><span class=\"n\">Qmat<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">plt<\/span><span class=\"o\">.<\/span><span class=\"n\">colorbar<\/span><span class=\"p\">()<\/span>\n<span class=\"n\">plt<\/span><span class=\"o\">.<\/span><span class=\"n\">show<\/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_subarea output_stream output_stderr output_text\">\n<pre>100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 50\/50 [00:05&lt;00:00,  9.39it\/s]\n<\/pre>\n<\/div>\n<\/div>\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<h3><span class=\"ez-toc-section\" id=\"%E4%BD%BF%E7%94%A8%E3%81%99%E3%82%8B%E9%A3%9F%E6%9D%90%E3%81%AE%E6%8F%90%E6%A1%88\"><\/span>\u4f7f\u7528\u3059\u308b\u98df\u6750\u306e\u63d0\u6848<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u3053\u306eQUBO\u884c\u5217\u3092\u7528\u3044\u3066\u3001\u3069\u306e\u3088\u3046\u306a\u89e3\u304c\u5f97\u3089\u308c\u308b\u304b\u898b\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=\"c1\"># MCMC\u306e\u9006\u6e29\u5ea6beta_range\u3092\u8a2d\u5b9a<\/span>\n<span class=\"n\">sampleset<\/span> <span class=\"o\">=<\/span> <span class=\"n\">sampler<\/span><span class=\"o\">.<\/span><span class=\"n\">sample_qubo<\/span><span class=\"p\">(<\/span><span class=\"n\">Qmat<\/span><span class=\"p\">,<\/span> <span class=\"n\">num_reads<\/span><span class=\"o\">=<\/span><span class=\"mi\">50<\/span><span class=\"p\">,<\/span> <span class=\"n\">beta_range<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mi\">32<\/span><span class=\"p\">,<\/span> <span class=\"mi\">32<\/span><span class=\"p\">))<\/span><span class=\"o\">.<\/span><span class=\"n\">aggregate<\/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>\u5f97\u3089\u308c\u305f\u89e3\u304b\u3089\u3001\u7f70\u91d1\u6cd5\u306e\u5236\u7d04\u3092\u898b\u305f\u3059\u89e3\u306e\u307f\u53d6\u308a\u51fa\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=\"k\">def<\/span> <span class=\"nf\">extract_feasible_solution<\/span><span class=\"p\">(<\/span><span class=\"n\">sampleset<\/span><span class=\"p\">):<\/span>\n    <span class=\"n\">index_slices<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span>\n        <span class=\"p\">(<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span> <span class=\"mi\">4<\/span><span class=\"p\">),<\/span>  <span class=\"c1\"># \u4e3b\u83dc\u306e\u8abf\u7406\u65b9\u6cd5<\/span>\n        <span class=\"p\">(<\/span><span class=\"mi\">4<\/span><span class=\"p\">,<\/span> <span class=\"mi\">11<\/span><span class=\"p\">),<\/span>  <span class=\"c1\"># \u526f\u83dc\u306e\u8abf\u7406\u65b9\u6cd5<\/span>\n        <span class=\"p\">(<\/span><span class=\"mi\">11<\/span><span class=\"p\">,<\/span> <span class=\"mi\">13<\/span><span class=\"p\">),<\/span>  <span class=\"c1\"># \u6c41\u7269or\u30c7\u30b6\u30fc\u30c8<\/span>\n        <span class=\"p\">(<\/span><span class=\"mi\">13<\/span><span class=\"p\">,<\/span> <span class=\"mi\">16<\/span><span class=\"p\">)<\/span>  <span class=\"c1\"># \u4e3b\u98df(\u3054\u306f\u3093\u3001\u9ea6\u3054\u98ef\u3001\u30d1\u30f3)<\/span>\n    <span class=\"p\">]<\/span>\n\n    <span class=\"n\">feasible_indices<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[]<\/span>\n    <span class=\"k\">for<\/span> <span class=\"n\">i<\/span><span class=\"p\">,<\/span> <span class=\"n\">sample<\/span> <span class=\"ow\">in<\/span> <span class=\"nb\">enumerate<\/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        <span class=\"k\">for<\/span> <span class=\"n\">b<\/span><span class=\"p\">,<\/span> <span class=\"n\">e<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">index_slices<\/span><span class=\"p\">:<\/span>\n            <span class=\"k\">if<\/span> <span class=\"n\">np<\/span><span class=\"o\">.<\/span><span class=\"n\">sum<\/span><span class=\"p\">(<\/span><span class=\"n\">sample<\/span><span class=\"p\">[<\/span><span class=\"n\">b<\/span><span class=\"p\">:<\/span><span class=\"n\">e<\/span><span class=\"p\">])<\/span> <span class=\"o\">!=<\/span> <span class=\"mi\">1<\/span><span class=\"p\">:<\/span>  <span class=\"c1\"># \u5b9f\u884c\u53ef\u80fd\u89e3\u3067\u306a\u3044\u5834\u5408<\/span>\n                <span class=\"k\">break<\/span>\n        <span class=\"k\">else<\/span><span class=\"p\">:<\/span>\n            <span class=\"n\">feasible_indices<\/span><span class=\"o\">.<\/span><span class=\"n\">append<\/span><span class=\"p\">(<\/span><span class=\"n\">i<\/span><span class=\"p\">)<\/span>\n    <span class=\"k\">return<\/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><span class=\"n\">feasible_indices<\/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\">ans<\/span> <span class=\"o\">=<\/span> <span class=\"n\">extract_feasible_solution<\/span><span class=\"p\">(<\/span><span class=\"n\">sampleset<\/span><span class=\"p\">)<\/span>\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"sa\">f<\/span><span class=\"s1\">'\u5b9f\u884c\u53ef\u80fd\u89e3\u306e\u500b\u6570: <\/span><span class=\"si\">{<\/span><span class=\"nb\">len<\/span><span class=\"p\">(<\/span><span class=\"n\">ans<\/span><span class=\"p\">)<\/span><span class=\"si\">}<\/span><span class=\"s1\">'<\/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_subarea output_stream output_stdout output_text\">\n<pre>\u5b9f\u884c\u53ef\u80fd\u89e3\u306e\u500b\u6570: 8\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>\u5236\u7d04\u3092\u898b\u305f\u3059\u89e3\u3092\u8868\u793a\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\">df_ans<\/span> <span class=\"o\">=<\/span> <span class=\"n\">pd<\/span><span class=\"o\">.<\/span><span class=\"n\">DataFrame<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">ans<\/span><span class=\"p\">,<\/span> <span class=\"n\">columns<\/span><span class=\"o\">=<\/span><span class=\"n\">df_data<\/span><span class=\"o\">.<\/span><span class=\"n\">columns<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">df_ans<\/span><span class=\"o\">.<\/span><span class=\"n\">head<\/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=\"output_html rendered_html output_subarea output_execute_result\">\n<div>\n<style scoped=\"\">\n    .dataframe tbody tr th:only-of-type {<br \/>        vertical-align: middle;<br \/>    }<\/p>\n<p>    .dataframe tbody tr th {<br \/>        vertical-align: top;<br \/>    }<\/p>\n<p>    .dataframe thead th {<br \/>        text-align: right;<br \/>    }<br \/><\/style>\n<table class=\"dataframe\" border=\"1\">\n<thead>\n<tr style=\"text-align: right;\">\n<th><\/th>\n<th>\u713c\u304f<\/th>\n<th>\u7092\u3081\u308b<\/th>\n<th>\u63da\u3052\u308b<\/th>\n<th>\u716e\u308b<\/th>\n<th>\u751f<\/th>\n<th>\u713c\u304f.1<\/th>\n<th>\u7092\u3081\u308b.1<\/th>\n<th>\u63da\u3052\u308b.1<\/th>\n<th>\u548c\u3048\u308b<\/th>\n<th>\u716e\u308b.1<\/th>\n<th>&#8230;<\/th>\n<th>\u304d\u3085\u3046\u308a<\/th>\n<th>\u30ad\u30e3\u30d9\u30c4<\/th>\n<th>\u3068\u3046\u3082\u308d\u3053\u3057<\/th>\n<th>\u305f\u307e\u306d\u304e<\/th>\n<th>\u3048\u3060\u307e\u3081<\/th>\n<th>\u304d\u304f\u3089\u3052<\/th>\n<th>\u30b0\u30ea\u30f3\u30d4\u30fc\u30b9<\/th>\n<th>\u3058\u3083\u304c\u3044\u3082<\/th>\n<th>\u3055\u3064\u307e\u3044\u3082<\/th>\n<th>\u306f\u308b\u3055\u3081<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<th>0<\/th>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>&#8230;<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<th>1<\/th>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>&#8230;<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<th>2<\/th>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>&#8230;<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<th>3<\/th>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>&#8230;<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<\/tr>\n<tr>\n<th>4<\/th>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>&#8230;<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td>1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>5 rows \u00d7 79 columns<\/p>\n<\/div>\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<h2><span class=\"ez-toc-section\" id=\"%E3%81%BE%E3%81%A8%E3%82%81\"><\/span>\u307e\u3068\u3081<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u3053\u306e\u307e\u307e\u3067\u306f\u4f55\u304c\u4f5c\u308c\u308b\u306e\u304b\u60f3\u50cf\u3067\u304d\u307e\u305b\u3093\u3002<a href=\"\/T-Wave\/?p=2797\">\u5f8c\u534a\u306e\u8a18\u4e8b<\/a>\u3067\u306f\u3001\u3053\u3053\u3067\u5f97\u3089\u308c\u305f\u89e3\u3092\u81ea\u5df1\u7d44\u7e54\u5316\u30de\u30c3\u30d7\u306b\u6295\u5f71\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u5b9f\u969b\u306b\u4f5c\u308c\u308b\u6599\u7406\u307e\u3067\u63d0\u6848\u3059\u308b\u904e\u7a0b\u306b\u3064\u3044\u3066\u89e3\u8aac\u3057\u307e\u3059\u3002<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E6%9C%AC%E8%A8%98%E4%BA%8B%E3%81%AE%E6%8B%85%E5%BD%93%E8%80%85\"><\/span>\u672c\u8a18\u4e8b\u306e\u62c5\u5f53\u8005<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u9e7f\u5185\u601c\u592e<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><script type=\"application\/vnd.jupyter.widget-state+json\"><br \/>\n{\"state\": {}, \"version_major\": 2, \"version_minor\": 0}<br \/>\n<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>2021\/12\/19\u306b\u884c\u308f\u308c\u305f\u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u30b3\u30f3\u30c6\u30b9\u30c8\u306b\u3001T-QARD-949\u3068\u3057\u3066\u53c2\u52a0\u3057\u307e\u3057\u305f\u3002\u6b8b\u5ff5\u306a\u304c\u3089\u5165\u8cde\u306f\u51fa\u6765\u307e\u305b\u3093\u3067\u3057\u305f\u304c\u3001\u591a\u304f\u306e\u65b9\u306b\u52d5\u753b\u3092\u898b\u3066\u9802\u3051\u3066\u5b09\u3057\u304b\u3063\u305f\u3067\u3059\u3002\u305d\u306e\u52d5\u753b\u306f\u3053\u3061\u3089\u304b\u3089\u3054\u89a7\u51fa\u6765\u307e\u3059\u3002\u672c\u8a18\u4e8b\u3067\u306f\u3001\u52d5\u753b\u3067\u306f\u8aac\u660e\u3057\u304d\u308c\u306a\u304b\u3063\u305f\u5b9f\u88c5\u90e8\u5206\u306b\u91cd\u70b9\u3092\u5f53\u3066\u3066\u89e3\u8aac\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[11,65,123],"class_list":["post-2761","post","type-post","status-publish","format-standard","hentry","category-hands-on","tag-d-wave-2000q","tag-65","tag-123"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u3092\u7528\u3044\u305f\u7d66\u98df\u306e\u732e\u7acb\u63d0\u6848(\u524d\u534a)-\u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u30b3\u30f3\u30c6\u30b9\u30c8 - T-QARD Harbor<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/qard.is.tohoku.ac.jp\/T-Wave\/2022\/02\/23\/\u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u3092\u7528\u3044\u305f\u7d66\u98df\u306e\u732e\u7acb\u63d0\u6848\u524d\u534a\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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