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 (OV...
| الحاوية / القاعدة: | Chip |
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| المؤلفون الرئيسيون: | , , , , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Elsevier
2025-03-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://www.sciencedirect.com/science/article/pii/S2709472324000352 |
| _version_ | 1849518121011904512 |
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| author | Jiayi Ouyang Shengping Liu Ziyue Yang Wei Wang Xue Feng Yongzhuo Li Yidong Huang |
| author_facet | Jiayi Ouyang Shengping Liu Ziyue Yang Wei Wang Xue Feng Yongzhuo Li Yidong Huang |
| author_sort | Jiayi Ouyang |
| collection | DOAJ |
| container_title | Chip |
| description | 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. |
| format | Article |
| id | doaj-art-27c697c02b9e4eae8b6dff03dfb5b7d4 |
| institution | Directory of Open Access Journals |
| issn | 2709-4723 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| spelling | doaj-art-27c697c02b9e4eae8b6dff03dfb5b7d42025-08-20T02:54:25ZengElsevierChip2709-47232025-03-014110011710.1016/j.chip.2024.10011716-channel photonic solver for optimization problems on a silicon chipJiayi Ouyang0Shengping Liu1Ziyue Yang2Wei Wang3Xue Feng4Yongzhuo Li5Yidong Huang6Department of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaChongqing United Microelectronics Center, Chongqing 100290, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaChongqing United Microelectronics Center, Chongqing 100290, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, China; Corresponding authors.Department of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, China; Corresponding authors.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.http://www.sciencedirect.com/science/article/pii/S2709472324000352Optical computingOptimization problemIntegrated photonics |
| spellingShingle | Jiayi Ouyang Shengping Liu Ziyue Yang Wei Wang Xue Feng Yongzhuo Li Yidong Huang 16-channel photonic solver for optimization problems on a silicon chip Optical computing Optimization problem Integrated photonics |
| title | 16-channel photonic solver for optimization problems on a silicon chip |
| title_full | 16-channel photonic solver for optimization problems on a silicon chip |
| title_fullStr | 16-channel photonic solver for optimization problems on a silicon chip |
| title_full_unstemmed | 16-channel photonic solver for optimization problems on a silicon chip |
| title_short | 16-channel photonic solver for optimization problems on a silicon chip |
| title_sort | 16 channel photonic solver for optimization problems on a silicon chip |
| topic | Optical computing Optimization problem Integrated photonics |
| url | http://www.sciencedirect.com/science/article/pii/S2709472324000352 |
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