{"id":4225,"date":"2017-09-09T01:00:00","date_gmt":"2017-09-08T17:00:00","guid":{"rendered":"http:\/\/swarma.org\/%swarma-paper%\/"},"modified":"2018-12-05T21:57:20","modified_gmt":"2018-12-05T13:57:20","slug":"%e7%94%a8%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e8%a7%a3%e8%af%bb%e9%87%8f%e5%ad%90%e5%ae%87%e5%ae%99%e5%a5%a5%e7%a7%98","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=4225","title":{"rendered":"\u7528\u6df1\u5ea6\u5b66\u4e60\u89e3\u8bfb\u91cf\u5b50\u5b87\u5b99\u5965\u79d8"},"content":{"rendered":"
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\"\u96c6\u667a\"<\/div>\n


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\u5168\u606f\u5f15\u529b\u7406\u8bba\u662f\u5efa\u7acb\u4e86\u65e0\u5f15\u529b\u7684\u91cf\u5b50\u573a\u8bba\uff08\u91cf\u5b50\u591a\u4f53\u7406\u8bba\uff09\u4e0e\u66f4\u9ad8\u4e00\u7ef4\u7684\u5f15\u529b\u7406\u8bba\u4e4b\u95f4\u7684\u7b49\u4ef7\u5173\u7cfb\u3002\u4f46\u662f\u76f4\u5230\u73b0\u5728\uff0c\u4eba\u4eec\u4f9d\u7136\u5e76\u4e0d\u5341\u5206\u6e05\u695a\u5982\u4f55\u4ece\u4e00\u4e2a\u65e0\u5f15\u529b\u7684\u91cf\u5b50\u573a\u8bba\u5f97\u5230\u66f4\u9ad8\u4e00\u7ef4\u7684\u5f15\u529b\u7406\u8bba\u3002\u4e00\u4e2a\u7a81\u7834\u662f2006\u5e74Ryu\u4e0eTakayanagi\u53d1\u73b0\u7684\u5168\u606f\u7ea0\u7f20\u71b5\u516c\u5f0f—-\u4ed6\u4eec\u5efa\u7acb\u4e86\u573a\u8bba\u7684\u7ea0\u7f20\u71b5\u4e0e\u5f15\u529b\u7406\u8bba\u7684\u6700\u5c0f\u9762\u7684\u7b49\u4ef7\u5173\u7cfb\u3002\u540e\u6765\uff0c\u4eba\u4eec\u53d1\u73b0\u672c\u8eab\u88ab\u7528\u6765\u63cf\u8ff0\u91cf\u5b50\u591a\u4f53\u6001\u7684\u884c\u4e3a\u7684\u5f20\u91cf\u7f51\u7edc\u5177\u6709\u4e0e\u5f15\u529b\u65f6\u7a7a\u7c7b\u4f3c\u7684\u51e0\u4f55\u7ed3\u6784\u3002<\/p>\n<\/section>\n<\/section>\n

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\"\u96c6\u667a\"<\/p>\n<\/section>\n<\/section>\n<\/section>\n

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 \u56fe1\uff1a\u5168\u606f\u4e8c\u5143\u6027\u4e0e\u6df1\u5ea6\u5b66\u4e60\u4e4b\u95f4\u7684\u6982\u5ff5\u8fde\u63a5<\/p>\n<\/section>\n<\/section>\n

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<\/p>\n

\u6765\u81ea\u54c8\u4f5b\u5927\u5b66\u7684\u96c6\u667a\u79d1\u5b66\u5bb6\u5c24\u4ea6\u5e84\u548c\u6765\u81ea\u65af\u5766\u798f\u5927\u5b66\u7684\u7941\u6653\u4eae\u3001\u6768\u948a\u5408\u4f5c\uff0c\u5728\u4ed6\u4eec\u7684\u6700\u65b0\u8bba\u6587Machine Learning Spatial Geometry from Entanglement Features\uff08arXiv: 1709.01223\uff09\u4e2d\u63d0\u51fa\u5bfb\u627e\u80fd\u63cf\u8ff0\u91cf\u5b50\u591a\u4f53\u7cfb\u7edf\u7684\u7ea0\u7f20\u7279\u5f81\u7684\u6700\u4f18\u968f\u673a\u5f20\u91cf\u7f51\u7edc\uff08RTN\uff09\u7684\u95ee\u9898\u53ef\u4ee5\u7b49\u4ef7\u4e3a\u6df1\u5ea6\u5b66\u4e60\u95ee\u9898\u3002\u56e0\u4e3a\u6df1\u5ea6\u5b66\u4e60\u6070\u6070\u662f\u5173\u4e8e\u4e3a\u4e86\u8fbe\u5230\u6700\u4f18\u76ee\u6807\u800c\u8c03\u8282\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\uff08\u51e0\u4f55\uff09\u7684\u65b9\u6cd5\u3002\u6b63\u5982\u8bba\u6587\u4e2d\u6307\u51fa\u7684\uff0c\u7a7a\u95f4\u51e0\u4f55\u6070\u662f\u7f16\u7801\u7ea0\u7f20\u7279\u5f81\u7684\u6709\u6548\u7684\u65b9\u5f0f\u3002\u6240\u4ee5\u91cf\u5b50\u591a\u4f53\u6001\u7684\u5168\u606f\u51e0\u4f55\u53ef\u4ee5\u5f53\u505a\u662f\u4ece\u7ea0\u7f20\u7279\u5f81\u7684\u6df1\u5ea6\u5b66\u4e60\u4e2d\u884d\u751f\u51fa\u7684\u795e\u7ecf\u7f51\u7edc\u51e0\u4f55\u3002<\/p>\n<\/section>\n<\/section>\n

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\"\u96c6\u667a\"<\/p>\n<\/section>\n<\/section>\n<\/section>\n

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\u56fe2\uff1a\u4e00\u4e2a\u6700\u4f18\u968f\u673a\u5f20\u91cf\u7f51\u7edc\uff08RTN\uff09\u7684\u7ed3\u6784<\/p>\n<\/section>\n<\/section>\n

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<\/p>\n

\u91cd\u6574\u5316\u7fa4\u4e0e\u5168\u606f\u5bf9\u5076\u548c\u6df1\u5ea6\u5b66\u4e60\u5747\u6709\u7d27\u5bc6\u7684\u8054\u7cfb\uff0c\u53d7\u6b64\u542f\u53d1\u4ed6\u4eec\u63d0\u51fa\uff0c<\/span>\u5168\u606f\u51e0\u4f55\u53ef\u4ee5\u4ece\u91cf\u5b50\u591a\u4f53\u6001\u7684\u7ea0\u7f20\u7279\u5f81\u7684\u6df1\u5ea6\u5b66\u4e60\u4e2d\u884d\u751f\u51fa\u6765\u3002\u4ed6\u4eec\u53d1\u5c55\u4e86\u4e00\u4e2a\u5177\u4f53\u7684\u7b97\u6cd5\uff0c\u79f0\u4e4b\u4e3a\u7ea0\u7f20\u7279\u5f81\u5b66\u4e60\uff08EFL\uff09\uff0c\u6b64\u65b9\u6cd5\u57fa\u4e8e\u5f20\u91cf\u7f51\u7edc\u5168\u606f\u7684\u968f\u673a\u5f20\u91cf\u7f51\u7edc\uff08RTN\uff09\u6a21\u578b\u3002\u4ed6\u4eec\u5c55\u793a\u4e86\u6bcf\u4e00\u4e2aRTN\u90fd\u53ef\u4ee5\u88ab\u6620\u5c04\u4e3a\u73bb\u5c14\u5179\u66fc\u673a\uff0c\u8be5\u73bb\u5c14\u5179\u66fc\u673a\u7531\u91cf\u5b50\u591a\u4f53\u6001\u7684\u6240\u6709\u5b50\u533a\u57df\u7684\u7ea0\u7f20\u71b5\u6765\u8bad\u7ec3\u3002\u76ee\u6807\u662f\u6784\u5efa\u80fd\u591f\u6700\u597d\u91cd\u6784\u8be5\u7ea0\u7f20\u7279\u5f81\u7684\u6700\u4f18RTN\u3002\u4ed6\u4eec\u5c55\u793a\u4e861\u7ef4\u81ea\u7531\u8d39\u7c73\u7cfb\u7edf\u7684EFL\u7b97\u6cd5\uff0c\u5e76\u4e14\u53d1\u73b0\u5f53\u4ed6\u4eec\u5c06\u8d39\u7c73\u7cfb\u7edf\u7684\u53c2\u6570\u5411\u65e0\u80fd\u9699\u4e34\u754c\u70b9\uff08CFT2\uff09\u8c03\u8282\u7684\u65f6\u5019\uff0c\u53cc\u66f2\u51e0\u4f55\uff08AdS3\u7684\u7a7a\u95f4\u51e0\u4f55\uff09\u4f1a\u81ea\u7136\u7684\u884d\u751f\u51fa\u6765\u3002<\/p>\n<\/section>\n<\/section>\n

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\"\u96c6\u667a\"<\/p>\n<\/section>\n<\/section>\n<\/section>\n

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\u56fe3\uff1a\u7ea0\u7f20\u7279\u5f81\u5b66\u4e60\uff08EFL\uff09\u8ba1\u7b97\u56fe<\/p>\n<\/section>\n<\/section>\n


<\/p>\n

\u60f3\u8981\u4e86\u89e3\u66f4\u591a\u4fe1\u606f\uff0c\u70b9\u51fb\u9605\u8bfb\u539f\u6587<\/strong>\u53ef\u4ee5\u9605\u8bfb\u6574\u7bc7\u8bba\u6587Machine Learning Spatial Geometry from Entanglement Features\uff08arXiv: 1709.01223\uff09<\/span>\u3002<\/span><\/p>\n


<\/span><\/p>\n

<\/span>\u5c24\u4ea6\u5e84\u662f\u96c6\u667a\u79d1\u5b66\u5bb6\uff0c\u73b0\u5728\u5728\u54c8\u4f5b\u5927\u5b66\u8bfb\u535a\u58eb\u540e\uff0c\u65e9\u572809\u5e74\u7684\u65f6\u5019\u5c24\u4ea6\u5e84\u66fe\u5728\u96c6\u667a\u4ff1\u4e50\u90e8\u5f00\u8fc7\u8bb2\u5ea7\uff0c\u5e76\u4e14\u57282016\u5e7410\u6708\u4ee5\u53ca2017\u5e747\u6708\u65f6\u53c2\u52a0\u4e86\u96c6\u667a\u4ff1\u4e50\u90e8\u4e0e\u51ef\u98ce\u57fa\u91d1\u4f1a\u5171\u540c\u4e3e\u529e\u7684\u201c\u7f51\u7edc\u3001\u51e0\u4f55\u4e0e\u673a\u5668\u5b66\u4e60\u201d\u7814\u8bfb\u8425\u6d3b\u52a8\uff0c\u5728\u6d3b\u52a8\u4e2d\u4e0e\u6765\u81ea\u4e16\u754c\u540d\u6821\u7684\u5176\u4f59\u9752\u5e74\u5b66\u8005\u5171\u540c\u63a2\u8ba8\uff0c\u601d\u60f3\u78b0\u649e\uff0c\u4ed6\u5411\u5927\u5bb6\u5c55\u793a\u4e86\uff0c\u57fa\u4e8e\u5e73\u9762\u56fe\uff08planar graph\uff09\u4e0aIsing model\u7684\u7cbe\u786e\u53ef\u89e3\u6027\uff0c\u6df1\u5ea6\u73bb\u5c14\u5179\u66fc\u673a\uff08Deep Boltzmann Machine\uff09\u53ef\u4ee5\u6620\u5c04\u4e3a\u81ea\u7531\u8d39\u7c73\u6a21\u578b\u3002\u91cf\u5b50\u591a\u4f53\u7cfb\u7edf\u4e0d\u540c\u533a\u57df\u4e4b\u95f4\u7684\u957f\u7a0b\u7ea0\u7f20\u53ef\u4ee5\u7531\u9690\u5c42\u795e\u7ecf\u5143\u7684\u7ed3\u6784\u6765\u523b\u753b\uff0c\u800c\u4ed6\u901a\u8fc7\u6df1\u5ea6\u5b66\u4e60\u7684\u7b97\u6cd5\u8868\u660e\uff0c\u4e34\u754c\u70b9\u4e0a\u7684\u81ea\u7531\u8d39\u7c73\u7cfb\u7edf\u7684\u7ea0\u7f20\u7279\u5f81\u5bf9\u5e94\u7684\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\u6b63\u662f\u53cc\u66f2\u51e0\u4f55\u3002\u8fd9\u6b63\u662f\u4ed6\u6700\u65b0\u8bba\u6587\u7684\u6838\u5fc3\u89c2\u70b9\u3002<\/span><\/span><\/p>\n


<\/span><\/p>\n

\"\u96c6\u667a\"<\/div>\n

\u56fe4\uff1a\u5c24\u4ea6\u5e84\u5728\u96c6\u667a\u51ef\u98ce\u7814\u8bfb\u8425\u65f6\u7684\u5206\u4eab<\/span><\/p>\n


<\/span><\/p>\n

<\/span>\u201c\u5176\u5b9e\u6211\u4eec\u8fd9\u9879\u5de5\u4f5c\u5f88\u5927\u7a0b\u5ea6\u4e0a\u4e5f\u5f97\u76ca\u4e8e\u7814\u8bfb\u8425\u6d3b\u52a8\u201d\u5c24\u4ea6\u5e84\u535a\u58eb\u5728\u91c7\u8bbf\u4e2d\u8c08\u5230\uff0c\u201c\u7279\u522b\u662f\u6211\u5728\u7814\u8bfb\u8425\u4e0e\u53e6\u5916\u4e24\u540d\u96c6\u667a\u79d1\u5b66\u5bb6\u5f20\u6f58\u548c\u674e\u5ae3\u7136\u7684\u8ba8\u8bba\uff0c\u5bf9\u6211\u6709\u5f88\u5927\u7684\u542f\u53d1\u3002\u6211\u4eec\u5728\u8bba\u6587\u4e2d\u4e5f\u7279\u522b\u81f4\u8c22\u4e86\u96c6\u667a\u4ff1\u4e50\u90e8\u548c\u51ef\u98ce\u57fa\u91d1\u4f1a\u7684\u652f\u6301\u3002\u6211\u5e0c\u671b\u6211\u4eec\u7684\u7814\u8bfb\u8425\u80fd\u591f\u7ee7\u7eed\u529e\u4e0b\u53bb\uff0c\u80fd\u591f\u5438\u5f15\u5230\u66f4\u591a\u4f18\u79c0\u7684\u5e74\u8f7b\u5b66\u8005\u53c2\u4e0e\u8ba8\u8bba\uff0c\u80fd\u591f\u5728\u8ba8\u8bba\u4e2d\u6fc0\u53d1\u51fa\u66f4\u591a\u66f4\u597d\u7684\u7814\u7a76\u6210\u679c\u3002\u201d<\/span><\/p>\n

<\/span><\/p>\n

\"\u96c6\u667a\"<\/div>\n

<\/span>
<\/p>\n

\u66f4\u591a\u63a8\u8350\u9605\u8bfb\uff1a<\/span><\/strong><\/span><\/p>\n

AI&Policy\u7814\u8ba8\u4f1a\u7b2c\u4e8c\u65e5\uff1a\u5f53\u590d\u6742\u7cfb\u7edf\u9047\u89c1\u6df1\u5ea6\u5b66\u4e60<\/a><\/span><\/strong><\/span><\/p>\n

\u96c6\u667aAI&Policy\u7814\u8ba8\u4f1a\uff1a\u4e2d\u56fd\u79d1\u5b66\u5bb6\u56fd\u9645\u5730\u4f4d\u4e0a\u5347<\/a><\/span><\/strong><\/span><\/p>\n

\u5bf9\u673a\u5668\u5b66\u4e60\u3001\u5f20\u91cf\u7f51\u7edc\u548c\u7269\u7406\u7684\u4e00\u4e9b\u770b\u6cd5 | \u7a0b\u5d69<\/strong><\/a><\/p>\n

\u96c6\u667a\u51ef\u98ce\u7814\u8bfb\u8425\u300c\u7f51\u7edc\u3001\u51e0\u4f55\u4e0e\u673a\u5668\u5b66\u4e60\u300d| \u5085\u6e25\u6210<\/strong><\/a>
<\/p>\n

\u671d\u95fb\u9053\uff0c\u5915\u5982\u4f55\uff1f | \u5c0f\u6728\u7403<\/strong><\/a>
<\/p>\n

What can we know from the given data? <\/a>
<\/span><\/strong><\/span><\/p>\n

\u6211\u7684\u80a9\u4e0a\u662f\u98ce\uff0c\u98ce\u4e0a\u662f\u95ea\u70c1\u7684\u661f\u7fa4 <\/a>
<\/span><\/strong><\/span><\/p>\n

\u7edf\u4e00\u4e4b\u8def\uff1a\u91cf\u5b50\u7ea0\u7f20\u3001\u65f6\u7a7a\u51e0\u4f55\u4e0e\u673a\u5668\u5b66\u4e60<\/a><\/span><\/strong><\/span><\/p>\n

\u673a\u5668\u5b66\u4e60\u3001\u7406\u8bba\u7269\u7406\u3001\u8ba1\u7b97\u793e\u4f1a\u5b66\u7684\u78b0\u649e | \u8bb02017\u96c6\u667a-\u51ef\u98ce\u7814\u8bfb\u8425<\/a>
<\/strong><\/span><\/p>\n

\u590d\u6742\u7f51\u7edc\uff0c\u673a\u5668\u5b66\u4e60\u4e0e\u5168\u606f\u539f\u7406 | \u8bb02017\u96c6\u667a-\u51ef\u98ce\u7814\u8bfb\u8425<\/a>
<\/strong><\/span><\/p>\n

\u91cf\u5b50\u7ea0\u7f20\uff0c\u590d\u6742\u7f51\u7edc\u4e0e\u673a\u5668\u5b66\u4e60\u5728\u96c6\u667a\u878d\u5408 | \u8bb02017\u96c6\u667a-\u51ef\u98ce\u7814\u8bfb\u8425<\/a>
<\/strong><\/span><\/p>\n


<\/p>\n


<\/p>\n

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\"\u96c6\u667a\"
<\/p>\n

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\u96c6\u667aQQ\u7fa4\uff5c292641157
\u5546\u52a1\u5408\u4f5c\uff5czhangqian@swarma.org
\u6295\u7a3f\u8f6c\u8f7d\uff5cwangting@swarma.org<\/span><\/strong><\/p>\n

\n

\u25c6 <\/span>\u25c6 <\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n

\u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n


<\/span><\/strong><\/span><\/p>\n

\u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

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\"\u96c6\u667a\"<\/p>\n<\/section>\n

\u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n

\u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a \u96c6\u667a\u4ff1\u4e50\u90e8 <\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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