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

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 lightwave, the calculation of the cost function can be accelerated. The photonic chip is fabricated on the silicon on insulator (SOI) substrate and integrates 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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Publication Details

Journal
Chip
Published
2024-11-08
DOI
https://doi.org/10.1016/j.chip.2024.100117
Citations
10
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
3.47
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article

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

Shengping Liu, Yongzhuo Li, Jiayi Ouyang, Yidong Huang et al.
10 citations
Chip
Neural Networks and Reservoir Computing
3.47
article

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

Shengping Liu, Yongzhuo Li, Jiayi Ouyang, Yidong Huang, Xue Feng, Wei Wang, Ziyue Yang
article en
10 citations

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 lightwave, the calculation of the cost function can be accelerated. The photonic chip is fabricated on the silicon on insulator (SOI) substrate and integrates 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.

ChipVol. 4(1)
United Microelectronics (United States) (US), Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 6%
Neural Networks and Reservoir Computing
3.47
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16-channel photonic solver for optimization problems on a silicon chip — Shengping Liu, Yongzhuo Li, et al. · Chip (2024) | TGRS Research Map | TGRS