基于光电振荡器的相干伊辛机求解MAXCUT优化问题

F. Böhm, G. Verschaffelt, G. Van der Sande
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引用次数: 1

摘要

我们提出并测试了相干伊辛机(CIM)的新概念,其目标是用尺寸小且制造成本低的光子系统解决NP-hard优化问题。cim是一个很有前途的概念,可以比传统的数字计算机更快地解决困难的优化问题[1]。当前的cim基于简并光学参量振荡器(DOPOs),并利用在环形腔(周长约1km)中循环的短激光脉冲的光相位来实现大规模人工伊辛自旋网络,该网络可用于实现各种优化问题的成本函数[2,3]。然后利用光学系统演化到基态的自然趋势来寻找最优解。与量子退火硬件相比,基于dopo的cim具有许多优势[1],并且与传统计算机相比,已经证明了显著的速度提升[3]。然而,DOPO生成所需的大外腔和非线性光学过程导致大型和复杂的设置,这使得基于DOPO的cim成本高昂且具有挑战性。此外,腔体必须主动锁相,使其极易受到外部扰动。
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Solving MAXCUT Optimization Problems with a Coherent Ising Machine Based on Opto-Electronic Oscillators
We propose and test a new concept for a coherent Ising machine (CIM) with the goal of solving NP-hard optimization problems with a photonic system that is small in size and cheap to fabricate. CIMs are a promising concept for solving difficult optimization problems faster than on conventional digital computers [1]. Current CIMs are based on degenerate optical parametric oscillators (DOPOs) and use the optical phase of short laser pulses circulating in a ring cavity (∼1km circumference) to implement large-scale artificial Ising spin networks, which can in turn be used to implement the cost function of various optimization problems [2,3]. The natural tendency of the optical system to evolve to its ground state is then used to find the optimal solution. DOPO-based CIMs offer many advantages over quantum annealing hardware [1] and have demonstrated significant speed ups compared to conventional computers [3]. However, the large external cavity and the nonlinear optical processes required for the DOPO generation result in large and complex setups, which makes DOPO-based CIMs expensive and challenging to build. Additionally, the cavity has to be actively phase-locked, making it highly susceptible to external perturbations.
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