自旋(空气动力学)
伊辛模型
计算机科学
物理
统计物理学
热力学
作者
Peter L. McMahon,Alireza Marandi,Yoshitaka Haribara,Ryan Hamerly,Carsten Langrock,Shuhei Tamate,Takahiro Inagaki,Hiroki Takesue,Shoko Utsunomiya,Kazuyuki Aihara,Robert L. Byer,M. M. Fejer,Hideo Mabuchi,Y. Yamamoto
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2016-10-21
卷期号:354 (6312): 614-617
被引量:729
标识
DOI:10.1126/science.aah5178
摘要
Taking the pulse of optimization Finding the optimum solution of multiparameter or multifunctional problems is important across many disciplines, but it can be computationally intensive. Many such problems defined as computationally difficult can be mathematically mapped onto the so-called Ising problem, which looks at finding the minimum energy configuration for an array of coupled spins. Inagakiet al.and McMahonet al.show that an optical processing approach based on a network of coupled optical pulses in a ring fiber can be used to model and optimize large-scale Ising systems. Such a scalable architecture could help to optimize solutions to a wide range of complex problems. Science, this issue pp. 603 and 614
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