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通过多分量模型的物理可调系数进行空分复用的空间光子伊辛机。

Spatial-photonic Ising machine by space-division multiplexing with physically tunable coefficients of a multi-component model.

作者信息

Sakabe Takumi, Shimomura Suguru, Ogura Yusuke, Okubo Ken-Ichi, Yamashita Hiroshi, Suzuki Hideyuki, Tanida Jun

出版信息

Opt Express. 2023 Dec 18;31(26):44127-44138. doi: 10.1364/OE.508069.

Abstract

This paper proposes a space-division multiplexed spatial-photonic Ising machine (SDM-SPIM) that physically calculates the weighted sum of the Ising Hamiltonians for individual components in a multi-component model. Space-division multiplexing enables tuning a set of weight coefficients as an optical parameter and obtaining the desired Ising Hamiltonian at a time. We solved knapsack problems to verify the system's validity, demonstrating that optical parameters impact the search property. We also investigated a new dynamic coefficient search algorithm to enhance search performance. The SDM-SPIM would physically calculate the Hamiltonian and a part of the optimization with an electronics process.

摘要

本文提出了一种空分复用空间光子伊辛机(SDM-SPIM),它能对多组分模型中各个组分的伊辛哈密顿量进行加权求和的物理计算。空分复用能够将一组权重系数作为光学参数进行调谐,并一次性获得所需的伊辛哈密顿量。我们通过求解背包问题来验证该系统的有效性,证明了光学参数会影响搜索特性。我们还研究了一种新的动态系数搜索算法以提高搜索性能。SDM-SPIM将通过电子过程对哈密顿量和部分优化进行物理计算。

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