{"id":42935,"date":"2023-06-02T20:06:28","date_gmt":"2023-06-02T12:06:28","guid":{"rendered":"https:\/\/swarma.org\/?p=42935"},"modified":"2023-06-02T20:06:28","modified_gmt":"2023-06-02T12:06:28","slug":"%e5%bd%93%e9%87%8f%e5%ad%90%e8%ae%a1%e7%ae%97%e9%81%87%e5%88%b0%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%ef%bc%9a%e9%87%8f%e5%ad%90%e4%ba%92%e6%96%87%e6%80%a7%e5%8a%a9%e5%8a%9b%e7%94%9f%e6%88%90%e6%a8%a1","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=42935","title":{"rendered":"\u5f53\u91cf\u5b50\u8ba1\u7b97\u9047\u5230\u8bed\u8a00\u6a21\u578b\uff1a\u91cf\u5b50\u4e92\u6587\u6027\u52a9\u529b\u751f\u6210\u6a21\u578b | \u91cf\u5b50\u4e16\u754c\u5730\u56fe"},"content":{"rendered":"
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\u5982\u679c\u9650\u5b9a\u5728\u7ecf\u5178\u903b\u8f91\u6846\u67b6\u5185\uff0c\u6a21\u578b\u6240\u80fd\u591f\u63a2\u7d22\u5230\u7684\u6700\u4f73\u4e0a\u9650\u5c31\u53ea\u80fd\u901a\u8fc7\u5404\u79cd\u6298\u4e2d\u6216\u53d6\u820d\u6765\u83b7\u5f97\uff0c\u5c31\u50cf\u90a3\u4e2a\u80dc\u73878\/9\u7684\u8868\u683c\u4e00\u6837\u3002\u90a3\u4e48\u4f7f\u7528\u91cf\u5b50\u8ba1\u7b97\u6765\u52a0\u6301\uff0c\u80fd\u5426\u7a81\u7834\u9650\u5236\u5462<\/strong>\uff1f<\/span><\/section>\n

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\u7b54\u6848\u662f\u80af\u5b9a\u7684\u30022022\u5e74\uff0c\u54c8\u4f5b\u5927\u5b66\u7684\u4e00\u4e2a\u7814\u7a76\u56e2\u961f\u5728PRX\u4e0a\u53d1\u8868\u7684\u8bba\u6587[1]<\/span>\u4e2d\u8bc1\u660e\uff0c\u5728\u91cf\u5b50\u7ebf\u8def\u642d\u5efa\u76842-gram\u6a21\u578b<\/strong>\u4e2d\uff0c\u6211\u4eec\u603b\u53ef\u4ee5\u6dfb\u52a0\u4e00\u7ec4\u6070\u5f53\u7684\u64cd\u4f5c<\/span>\uff08\u4e0a\u56fe\u4e2d\u7684V1<\/sub>~V6<\/sub><\/span>\uff09<\/span>\uff0c\u4f7f\u8fd9\u4e2a\u6a21\u578b\u6a21\u4eff\u201c\u4eba\u8bdd\u201d\u7684\u80fd\u529b\uff0c\u8fbe\u5230\u540c\u7b49\u89c4\u6a21\u7ecf\u5178n-gram\u6a21\u578b\u6c38\u8fdc\u65e0\u6cd5\u4f01\u53ca\u7684\u7a0b\u5ea6\u3002<\/span><\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aEnhancing Generative Models via Quantum Correlations<\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/journals.aps.org\/prx\/abstract\/10.1103\/PhysRevX.12.021037<\/p>\n<\/section>\n<\/blockquote>\n


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\u8bba\u6587\u4e2d\u7684\u8bba\u8bc1\u663e\u793a\uff0c\u9664\u975e\u75af\u72c2\u6269\u5f20\u6a21\u578b\u89c4\u6a21\uff0c\u5426\u5219\u4efb\u4f55\u7ecf\u5178HMM\u6a21\u578b\u90fd\u65e0\u6cd5\u4f01\u53ca\u91cf\u5b502-gram\u6a21\u578b\u7684\u80fd\u529b\u3002\u8981\u60f3\u80fd\u529b\u76f8\u5f53\uff0c\u5bf9\u5e94\u4ec510\u4e2a\u91cf\u5b50\u6bd4\u7279\u7684\u91cf\u5b50\u6a21\u578b\uff0c\u7ecf\u5178HMM\u6a21\u578b\u9700\u8981\u52a8\u7528\u7684\u5355\u5143\u6570\u91cf\u5c31\u4f1a\u8d85\u8fc7102410<\/sup>\u91cf\u7ea7\uff01<\/span><\/section>\n

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\u5728\u8fd9\u7bc7\u6587\u7ae0\u53d1\u8868\u540e\u4e0d\u4e45\uff0c\u54c8\u4f5b\u5927\u5b66\u548c\u52a0\u5dde\u5927\u5b66\u5723\u5730\u4e9a\u54e5\u5206\u6821\u7684\u7814\u7a76\u7ec4\u8fdb\u884c\u5408\u4f5c\uff0c\u53c8\u5229\u7528\u8be5\u601d\u60f3\u8bc1\u660e\uff0c\u666e\u904d\u7684\u795e\u7ecf\u7f51\u7edc<\/strong><\/span>\uff08\u4f8b\u5982RNN\u3001Transformer\u7b49\u67b6\u6784\uff09<\/span>\u90fd\u53ef\u4ee5\u901a\u8fc7\u91cf\u5b50\u5316\u6765\u5229\u7528\u91cf\u5b50\u4e92\u6587\u6027\u6765\u63d0\u5347\u6a21\u578b\u7684\u8868\u8fbe\u80fd\u529b<\/span><\/strong>[2]\u3002<\/span>\u8be5\u7814\u7a76\u4e0d\u4ec5\u4ece\u7406\u8bba\u4e0a\u8bc1\u660e\u4e86\u91cf\u5b50\u5316\u7684\u751f\u6210\u6a21\u578b\u5728\u8d44\u6e90\u5f00\u9500\u4e0a\u5177\u6709\u7edd\u5bf9\u4f18\u52bf\uff0c\u5e76\u4e14\u5728\u771f\u5b9e\u82f1\u8bed-\u897f\u73ed\u7259\u8bed\u7ffb\u8bd1\u4efb\u52a1\u4e0a\u5229\u7528\u771f\u5b9e\u6570\u636e\u548c\u57fa\u4e8e\u91cf\u5b50\u5149\u5b66\u7684\u91cf\u5b50\u751f\u6210\u6a21\u578b\u7ed9\u51fa\u4e86\u5b9e\u8bc1\u3002<\/span><\/span><\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aInterpretable Quantum Advantage in Neural Sequence Learning<\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/abs\/2209.14353<\/p>\n<\/section>\n<\/blockquote>\n


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\u900f\u8fc7\u8fd9\u4e9b\u7406\u8bba\u7814\u7a76\u8fdb\u5c55\uff0c\u51a5\u51a5\u4e4b\u4e2d\u4e0d\u7531\u5f97\u751f\u51fa\u79cd\u6726\u80e7\u7684\u611f\u89c9\u2014\u2014\u4e5f\u8bb8\u4eba\u7c7b\u7684\u8bed\u8a00\u6587\u5b57\uff0c\u4e43\u81f3\u5176\u80cc\u540e\u7684\u610f\u8bc6\u548c\u601d\u60f3\uff0c\u672c\u5c31\u662f\u6839\u690d\u4e8e\u67d0\u4e9b\u91cf\u5b50\u6548\u5e94\u3002\u6211\u4eec\u76ee\u524d\u6240\u91c7\u7528\u7684\u6240\u6709\u7ecf\u5178\u6846\u67b6\u4e0b\u7684\u751f\u6210\u6a21\u578b\uff0c\u5c3d\u7ba1\u6210\u529f\u5982ChatGPT\uff0c\u4f9d\u7136\u4f9d\u8d56\u6570\u4ee5\u5343\u4e07\u8ba1\u7684\u5927\u91cf\u8bad\u7ec3\u53c2\u6570\u548c\u8ba1\u7b97\u8d44\u6e90\uff0c\u800c\u91cf\u5b50\u673a\u5668\u7684\u5e94\u7528\u6709\u5e0c\u671b\u5c06\u8fd9\u4e9b\u5927\u6a21\u578b\u5c0f\u578b\u5316\u3002\u5f53\u91cf\u5b50\u8ba1\u7b97\u7684\u5904\u7406\u89c4\u6a21\u4e0e\u78b3\u57fa\u751f\u547d\u795e\u7ecf\u7cfb\u7edf\u76f8\u5f53\u4e4b\u65f6\uff0c\u4e5f\u6b63\u662f\u7845\u57fa\u751f\u547d\u771f\u6b63\u89c9\u9192\u4e4b\u65e5\u3002<\/span><\/p>\n

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\u6587\u732e\uff1a<\/span><\/strong><\/span><\/section>\n
[1] DOI: 10.1103\/PhysRevX.12.021037<\/span><\/section>\n
[2] arXiv:2209.14353v1 [quant-ph]\uff08accepted at PRX Quantum\uff09<\/span><\/section>\n

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AI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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AI+Science \u662f\u8fd1\u5e74\u5174\u8d77\u7684\u5c06\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u76f8\u7ed3\u5408\u7684\u4e00\u79cd\u8d8b\u52bf\u3002\u4e00\u65b9\u9762\u662f AI for Science\uff0c\u673a\u5668\u5b66\u4e60\u548c\u5176\u4ed6 AI \u6280\u672f\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u95ee\u9898\uff0c\u4ece\u9884\u6d4b\u5929\u6c14\u548c\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u5230\u6a21\u62df\u661f\u7cfb\u78b0\u649e\u3001\u8bbe\u8ba1\u4f18\u5316\u6838\u805a\u53d8\u53cd\u5e94\u5806\uff0c\u751a\u81f3\u50cf\u79d1\u5b66\u5bb6\u4e00\u6837\u8fdb\u884c\u79d1\u5b66\u53d1\u73b0\uff0c\u88ab\u79f0\u4e3a\u79d1\u5b66\u53d1\u73b0\u7684\u201c\u7b2c\u4e94\u8303\u5f0f\u201d\u3002\u53e6\u4e00\u65b9\u9762\u662f Science for AI\uff0c\u79d1\u5b66\u5c24\u5176\u662f\u7269\u7406\u5b66\u4e2d\u7684\u89c4\u5f8b\u548c\u601d\u60f3\u542f\u53d1\u673a\u5668\u5b66\u4e60\u7406\u8bba\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u63d0\u4f9b\u5168\u65b0\u7684\u89c6\u89d2\u548c\u65b9\u6cd5\u3002<\/span><\/section>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\uff08Jure Leskovec \u6559\u6388\u6307\u5bfc\uff09\u3001\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458\u6248\u9e3f\u4e1a\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7269\u7406\u7cfb\u535a\u58eb\u751f\u5218\u5b50\u9e23\uff08Max Tegmark \u6559\u6388\u6307\u5bfc\uff09\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201cAI+Science<\/a>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u63a2\u8ba8\u8be5\u9886\u57df\u7684\u91cd\u8981\u95ee\u9898\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\u3002\u8bfb\u4e66\u4f1a\u4ece2023\u5e743\u670826\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 9:00-11:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba110\u5468\u3002\u6b22\u8fce\u5bf9\u63a2\u7d22\u8fd9\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u524d\u6cbf\u9886\u57df\u6709\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/span><\/section>\n

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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u53d1\u73b0\u76f8\u4e92\u8d4b\u80fd\u7684\u65b0\u8303\u5f0f\uff1aAI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/section>\n

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

1. <\/strong>\u5f53\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9047\u4e0a\u91cf\u5b50\u8ba1\u7b97\u4e0e\u8303\u7574\u8bba\uff1a\u4eba\u5de5\u667a\u80fd\u5f00\u542f\u66f4\u5927\u60f3\u8c61\u7a7a\u95f4<\/a><\/strong><\/span><\/strong><\/section>\n
2.<\/strong> \u56e0\u679c\u63a8\u7406\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\uff1a\u5f00\u8f9f\u56e0\u679c\u5173\u7cfb\u7684\u65b0\u524d\u6cbf<\/a><\/strong><\/span><\/strong><\/section>\n
3.<\/strong><\/strong> \u4e0d\u786e\u5b9a\u56e0\u679c\uff1a\u5f53\u56e0\u679c\u9047\u5230\u91cf\u5b50<\/a><\/strong><\/span><\/section>\n
4. \u300a\u5f20\u6c5f\u00b7\u590d\u6742\u79d1\u5b66\u524d\u6cbf27\u8bb2\u300b\u5b8c\u6574\u4e0a\u7ebf\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/section>\n
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5. \u6210\u4e3a\u96c6\u667aVIP\uff0c\u89e3\u9501\u5168\u7ad9\u8bfe\u7a0b\uff0f\u8bfb\u4e66\u4f1a<\/span><\/strong><\/a><\/strong><\/strong><\/strong><\/strong><\/section>\n
6. <\/strong><\/strong><\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/span><\/section>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a <\/span><\/strong><\/section>\n

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