A fully-programmable integrated photonic processor for both domain-specific and general-purpose computing
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866908494562590720 |
|---|---|
| author | Han, Feng-Kai Xu, Xiao-Yun Zhang, Tian-Yu Feng, Lei Wang, Chu-Han Ma, Jie Lan, Ze-Feng Li, Chao-Qian Xie, Yi Yan, Hai Liu, Yu-Fei Peng, Yu-Quan Jin, Xian-Min |
| author_facet | Han, Feng-Kai Xu, Xiao-Yun Zhang, Tian-Yu Feng, Lei Wang, Chu-Han Ma, Jie Lan, Ze-Feng Li, Chao-Qian Xie, Yi Yan, Hai Liu, Yu-Fei Peng, Yu-Quan Jin, Xian-Min |
| contents | A variety of complicated computational scenarios have made unprecedented demands on the computing power and energy efficiency of electronic computing systems, including solving intractable nondeterministic polynomial-time (NP)-complete problems and dealing with large-scale artificial intelligence models. Optical computing emerges as a promising paradigm to meet these challenges, whereas current optical computing architectures have limited versatility. Their applications are usually either constrained to a specialized domain or restricted to general-purpose matrix computation. Here, we implement a fully-programmable integrated photonic processor that can be configured to tackle both specific computational problems and general-purpose matrix computation. We achieve complete end-to-end control of the photonic processor by utilizing a self-developed integrated programmable optoelectronic computing platform. For domain-specific computing, our photonic processor can efficiently solve two kinds of NP-complete problems: subset sum problem (far more than 2^N different instances) and exact cover problem. For general-purpose computation, we experimentally demonstrate high-precision optical dot product and further realize accurate image edge detection and MNIST handwritten image classification task with an accuracy of 97%. Our work enhances the versatility and capability of optical computing architecture, paving the way for its practical application in future high-performance and complex computing scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_13551 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A fully-programmable integrated photonic processor for both domain-specific and general-purpose computing Han, Feng-Kai Xu, Xiao-Yun Zhang, Tian-Yu Feng, Lei Wang, Chu-Han Ma, Jie Lan, Ze-Feng Li, Chao-Qian Xie, Yi Yan, Hai Liu, Yu-Fei Peng, Yu-Quan Jin, Xian-Min Optics Emerging Technologies A variety of complicated computational scenarios have made unprecedented demands on the computing power and energy efficiency of electronic computing systems, including solving intractable nondeterministic polynomial-time (NP)-complete problems and dealing with large-scale artificial intelligence models. Optical computing emerges as a promising paradigm to meet these challenges, whereas current optical computing architectures have limited versatility. Their applications are usually either constrained to a specialized domain or restricted to general-purpose matrix computation. Here, we implement a fully-programmable integrated photonic processor that can be configured to tackle both specific computational problems and general-purpose matrix computation. We achieve complete end-to-end control of the photonic processor by utilizing a self-developed integrated programmable optoelectronic computing platform. For domain-specific computing, our photonic processor can efficiently solve two kinds of NP-complete problems: subset sum problem (far more than 2^N different instances) and exact cover problem. For general-purpose computation, we experimentally demonstrate high-precision optical dot product and further realize accurate image edge detection and MNIST handwritten image classification task with an accuracy of 97%. Our work enhances the versatility and capability of optical computing architecture, paving the way for its practical application in future high-performance and complex computing scenarios. |
| title | A fully-programmable integrated photonic processor for both domain-specific and general-purpose computing |
| topic | Optics Emerging Technologies |
| url | https://arxiv.org/abs/2508.13551 |