Parallel processing of spatial photonic Ising machines using spatial multiplexing

Suguru Shimomura; Yusuke Ogura; Jun Tanida

doi:10.1117/12.3028713

18 June 2024 Parallel processing of spatial photonic Ising machines using spatial multiplexing

Suguru Shimomura, Yusuke Ogura, Jun Tanida

Proceedings Volume 13017, Machine Learning in Photonics; 1301719 (2024) https://doi.org/10.1117/12.3028713
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Conference Poster

Abstract

In this study, we proposed a spatial photonic Ising machine with parallel processing. Through spatial multiplexing, the spin variables indicating multiple types of solutions were expanded in space. Individual calculations of the Ising Hamiltonian for multiple types of spin variables can be performed using the designed phase patterns. To evaluate the performance of the proposed method, the optimal solution for combinational optimization problems with 100 spin variables was determined for a certain number of iterations. Experimental results show that the frequency of the obtained optimised solution increases with the number of multiplexing steps.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Suguru Shimomura, Yusuke Ogura, and Jun Tanida "Parallel processing of spatial photonic Ising machines using spatial multiplexing", Proc. SPIE 13017, Machine Learning in Photonics, 1301719 (18 June 2024); https://doi.org/10.1117/12.3028713

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