Photonic Spiking Neural Network Based on Coupled Optical Parametric Oscillators
Photonic spiking neurons, capable of representing fundamental spiking modes of class-I and class-II neurons, were employed to solve combinatorial optimization problems of the Ising model by selectively flipping spins based on local energy.
Authors
- Toshimori Honjo (ORCID: https://orcid.org/0000-0002-2176-9842)
- Koji Enbutsu (ORCID: https://orcid.org/0000-0003-2462-0987)
- Takuya Ikuta (ORCID: https://orcid.org/0000-0003-3371-9583)
- Yuya Yonezu (ORCID: https://orcid.org/0000-0001-9024-5551)
- Yasuhiro Yamada (ORCID: https://orcid.org/0000-0002-5372-2141)
- Kazuyuki Aihara (ORCID: https://orcid.org/0000-0002-4602-9816)
- Kensuke Inaba (ORCID: https://orcid.org/0000-0003-1182-4198)
- Takahiro Inagaki (ORCID: https://orcid.org/0000-0003-1322-8744)
- Hiroki Takesue (ORCID: https://orcid.org/0000-0003-1253-9049)
- Takushi Kazama (ORCID: https://orcid.org/0000-0002-1000-8423)
- Takeshi Umeki (ORCID: https://orcid.org/0000-0002-5787-5911)
- Ryoichi Kasahara (ORCID: https://orcid.org/0000-0002-9325-6667)
Institutions
- NTT (Japan) (JP)
- NTT Basic Research Laboratories (JP)
- Tokyo International University (JP)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11109680
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00