16-channel photonic solver for optimization problems on a silicon chip

IF 7.1 Chip Pub Date : 2024-11-08 DOI:10.1016/j.chip.2024.100117
Jiayi Ouyang , Shengping Liu , Ziyue Yang , Wei Wang , Xue Feng , Yongzhuo Li , Yidong Huang
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Abstract

A programmable photonic solver for quadratic unconstrained binary optimization (QUBO) problems is demonstrated with a hybrid optoelectronic scheme, which consists of a photonic chip and an electronic driving board. The photonic chip is employed to perform the optical vector-matrix multiplication (OVMM) to calculate the cost function of the QUBO problem, while the electronic processor runs the heuristic algorithm to search for the optimal solution. Due to the parallel and low-latency propagation of lightwaves, the calculation of the cost function can be accelerated. The photonic chip was fabricated on the silicon on insulator (SOI) substrate and integrated 16 high-speed electro-optic modulators, 88 thermo-optic phase shifters, and 16 balanced photodetectors. The computing speed of the photonic chip is 1.66 TFLOP/s. As a proof of principle, two randomly generated 16-dimensional QUBO problems are solved with high successful probabilities. These results present the potential of fast-solving optimization problems with integrated photonic systems.
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硅芯片上优化问题的16通道光子求解器
提出了一种由光子芯片和电子驱动板组成的光电混合方案,用于二次型无约束二元优化问题的可编程光子求解器。利用光子芯片进行光学向量矩阵乘法(OVMM)计算QUBO问题的代价函数,电子处理器运行启发式算法搜索最优解。由于光波的并行传播和低延迟传播,可以加快代价函数的计算速度。该光子芯片由16个高速电光调制器、88个热光移相器和16个平衡光电探测器组成。该光子芯片的计算速度为1.66 TFLOP/s。作为一个原理证明,两个随机生成的16维QUBO问题都有很高的成功概率。这些结果显示了集成光子系统快速解决优化问题的潜力。
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