Quadrature Photonic Spatial Ising Machine
Wenchen Sun, Wenjia Zhang, Yuanyuan Liu, Qingwen Liu, Zuyuan He

TL;DR
This paper introduces a novel quadrature photonic spatial Ising machine that enhances configuration flexibility and external magnetic field implementation, enabling efficient solutions to large-scale combinatorial optimization problems like Max-cut and vertex cover.
Contribution
The paper proposes a new quadrature approach for photonic spatial Ising machines, allowing arbitrary spin interactions and external magnetic fields, thus broadening their application scope.
Findings
Successfully solved Max-cut problem with 100 nodes experimentally.
Simulated solutions for Max-cut with over 1600 nodes.
Implemented vertex cover problem with external magnetic field.
Abstract
The mining in physics and biology for accelerating the hardcore algorithm to solve non-deterministic polynomial (NP) hard problems has inspired a great amount of special-purpose ma-chine models. Ising machine has become an efficient solver for various combinatorial optimizationproblems. As a computing accelerator, large-scale photonic spatial Ising machine have great advan-tages and potentials due to excellent scalability and compact system. However, current fundamentallimitation of photonic spatial Ising machine is the configuration flexibility of problem implementationin the accelerator model. Arbitrary spin interactions is highly desired for solving various NP hardproblems. Moreover, the absence of external magnetic field in the proposed photonic Ising machinewill further narrow the freedom to map the optimization applications. In this paper, we propose anovel quadrature photonic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
