activity
20232026
most citedLow-rank combinatorial optimization and statistical learning by spatial photonic Ising machine

45 citations · 61 across the 4 of their papers we have counts for

collaborators

5 papers

physics.optics2026

Deterministic Ground-State Search in a Spatial Photonic Ising Machine by Phase Retrieval

Suguru Shimomura, Jun Tanida, Yusuke Ogura

A spatial photonic Ising machine (SPIM) solves large-scale combinatorial optimization problems by computing the Ising Hamiltonian through an optical Fourier transform. However, the…

physics.optics2025★ 1 cited

Digital-twin imaging based on descattering Gaussian splatting

Suguru Shimomura, Kazuki Yamanouchi, Jun Tanida

Three-dimensional imaging through scattering media is important in medical science and astronomy. We propose a digital-twin imaging method based on Gaussian splatting to observe an…

physics.optics2025

Parallel spatial photonic Ising machine using spatial multiplexing for accelerating combinatorial optimization

Suguru Shimomura, Jun Tanida, Yusuke Ogura

A spatial photonic Ising machine (SPIM) handles large-scale combinatorial optimization problems owing to optical processing with spatial parallelism. However, iterative feedback in…

physics.optics2023★ 15 cited

Spatial-photonic Ising machine by space-division multiplexing with physically tunable coefficients of a multi-component model

Takumi Sakabe, Suguru Shimomura, Yusuke Ogura +4

This paper proposes a space-division multiplexed spatial-photonic Ising machine (SDM-SPIM) that physically calculates the weighted sum of the Ising Hamiltonians for individual comp…

cond-mat.dis-nn2023★ 45 cited

Low-rank combinatorial optimization and statistical learning by spatial photonic Ising machine

Hiroshi Yamashita, Ken-ichi Okubo, Suguru Shimomura +3

The spatial photonic Ising machine (SPIM) [D. Pierangeli et al., Phys. Rev. Lett. 122, 213902 (2019)] is a promising optical architecture utilizing spatial light modulation for sol…