An Integrated All-Optical Ising Machine with Unlimited Spin Array Size and Coupling

IF 3.7 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Yuchi Lan, Guanyu Chen, Yuan Gao, Wujie Fu, Aaron J. Danner
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引用次数: 0

Abstract

Artificial spin systems are used to solve combinatorial optimization problems by mapping them to the ground state search of the Ising model. Ising machines of various designs, in fields as diverse as photonics and electronics, have been proposed and demonstrated in recent years. One important mathematical operation required in photonic Ising machines for nearly all Hamiltonian minimization algorithms is repeated matrix–vector multiplication with the vector size limited by the physical size of the optical system. Herein, an integrated photonic Ising machine based on matrix partitioning and phase encoding, which effectively allows the use of physically small optical circuits to handle arbitrarily large spin vectors, is proposed. All the complicated calculations are carried out optically, rather than electronically, in this approach. How the required surface area of a hypothetical chip-based photonic Ising machine can be resized according to convenience, with the trade-off being the solution time, and that this trade-off can be done in a way that does not impact the algorithm's efficacy, is shown. Through simulation, the system is predicted to have a high success rate, high noise tolerance, and high error tolerance.

Abstract Image

具有无限自旋阵列尺寸和耦合的集成式全光等效机
人工自旋系统通过映射伊辛模型的基态搜索来解决组合优化问题。近年来,在光子学和电子学等不同领域提出并展示了各种设计的伊辛机。在光子伊辛机中,几乎所有哈密顿最小化算法都需要进行一个重要的数学运算,那就是重复矩阵-矢量乘法,而矢量的大小受到光学系统物理尺寸的限制。在这里,我们提出了一种基于矩阵分割和相位编码的集成光子伊辛机,它能有效地利用物理尺寸较小的光路来处理任意大的自旋矢量。在这种方法中,所有复杂的计算都是通过光学而非电子方式进行的。图中展示了如何根据方便程度调整假想的芯片式光子伊辛机所需的表面积,而折衷的办法是缩短求解时间,并且这种折衷可以在不影响算法功效的情况下完成。通过仿真预测,该系统具有高成功率、高噪音容限和高误差容限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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