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Coherent Ising Machine - Optical Neural Network operating at the Quantum Limit

Y. Yamamoto

Published Jan 1, 2018• 2 citations
Publisher

Abstract

We will present the basic concept, operational principle and experimental performance of a novel computing machine with the network of degenerate optical parametric oscillators. The developed machine has 2048 qubits with all-to-all connections.
DOI
10.1364/cleopr.2018.w1d.1

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A degenerate optical parametric oscillator network is proposed to solve the NP-hard problem of finding a ground state of the Ising model. The underlying operating mechanism originates from the bistable output phase of each oscillator and the inherent preference of the network in selecting oscillation modes with the minimum photon decay rate. Computational experiments are performed on all instances reducible to the NP-hard MAX-CUT problems on cubic graphs of order up to 20. The numerical results reasonably suggest the effectiveness of the proposed network.
Coherent Ising machines (CIMs) are increasingly anticipated as a new computer that can solve combinatorial optimization problems. CIMs use degenerate optical parametric oscillator pulses as artificial spins. We constructed a 100,512-spin coherent Ising machine, the world's largest. Our CIM can find good solutions to maximum cut problems of 100,000-node graphs ~1000 times faster than simulated annealing. Furthermore, it provides both very good scores and a broad distribution when we operate it near the phase transition point.