Large-scale Ising spin network based on degenerate optical parametric oscillators
Large-scale Ising spin network based on degenerate optical parametric oscillators
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DOI：
10.1038/nphoton.2016.68
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发表时间：
2016-06-01
期刊：
影响因子：
35
通讯作者：
Takesue, Hiroki
中科院分区：
文献类型：
--
作者：
Inagaki, Takahiro;Inaba, Kensuke;Takesue, Hiroki
解决组合优化问题在现代社会中变得越来越重要，在现代社会中，需要对前所未有的复杂系统进行分析和优化。许多这样的问题可以映射到伊辛哈密顿量的基态搜索问题上，并且用物理系统模拟伊辛自旋现在正在成为解决此类问题的有前途的方法。在这里，我们报告了一个基于简并光学参量振荡器（DOPOs）的大规模人工自旋网络，为能够解决困难的组合优化问题的光子伊辛机铺平了道路。我们在放置在腔内的高度非线性光纤中使用双泵浦四波混频产生了100万个时分复用dopo。利用这些dopo，通过引入最近邻光耦合来模拟一维Ising模型。我们观察到自旋域的形成，发现自旋域的大小在DOPO阈值附近发散，这表明DOPO网络可以模拟低温Ising自旋的行为。
Solving combinatorial optimization problems is becoming increasingly important in modern society, where the analysis and optimization of unprecedentedly complex systems are required. Many such problems can be mapped onto the ground-state-search problem of the Ising Hamiltonian, and simulating the Ising spins with physical systems is now emerging as a promising approach for tackling such problems. Here, we report a large-scale network of artificial spins based on degenerate optical parametric oscillators (DOPOs), paving the way towards a photonic Ising machine capable of solving difficult combinatorial optimization problems. We generate >10,000 time-division-multiplexed DOPOs using dual-pump four-wave mixing in a highly nonlinear fibre placed in a cavity. Using those DOPOs, a one-dimensional Ising model is simulated by introducing nearest-neighbour optical coupling. We observe the formation of spin domains and find that the domain size diverges near the DOPO threshold, which suggests that the DOPO network can simulate the behaviour of low-temperature Ising spins.