本文選題：機(jī)器學(xué)習(xí)　切入點(diǎn)：量子多體物理　出處：《物理》2017年09期

【摘要】：機(jī)器學(xué)習(xí)方法近年來在許多不同的領(lǐng)域受到廣泛的關(guān)注,文章回顧了機(jī)器學(xué)習(xí)方法在量子多體物理中的應(yīng)用的幾個(gè)有代表性的例子,著重討論了機(jī)器學(xué)習(xí)方法對(duì)于解決量子多體物理中"指數(shù)墻"困難的可能的潛在意義。除此以外,量子多體物理中的若干方法和思想反過來可能對(duì)理解機(jī)器學(xué)習(xí)領(lǐng)域面臨的核心問題有重要的啟發(fā)作用。
[Abstract]:In recent years, machine learning methods have received extensive attention in many different fields. In this paper, several representative examples of machine learning methods in quantum multi-body physics are reviewed. The potential significance of machine learning in solving the problem of "exponential wall" in quantum multi-body physics is discussed. In turn, some methods and ideas in quantum multi-body physics may have an important enlightening effect on understanding the core problems in the field of machine learning.
【作者單位】： 上海交通大學(xué)物理與天文學(xué)院;
【分類號(hào)】：O413;TP181
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本文編號(hào)：1681097