Abstract

We present the operational principle of a coherent Ising machine (CIM) based on a degenerate optical parametric oscillator (DOPO) network. A quantum theory of CIM is formulated, and the computational ability of CIM is evaluated by numerical simulation based on c-number stochastic differential equations. We also discuss the advanced CIM with quantum measurement-feedback control and various problems which can be solved by CIM.

Highlights

  • In the field of statistical mechanics, the Ising model describes the simplest mathematical model of spin glass

  • We recently proposed a novel computing system to implement the non-deterministic polynomial-time (NP)-hard Ising problems using the criticality of laser [24,25,26,27] and degenerate optical parametric oscillator (DOPO) phase transition [28,29]

  • Since the maximum cut problem (MAX-CUT) is NP-hard and it is difficult to measure the time to the optimal solution for such a large problem size, the Goemans and Williamson (GW) solution was used as the mark of sufficient accuracy because it ensures better than the 87.856% of the ground states

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Summary

Introduction

In the field of statistical mechanics, the Ising model describes the simplest mathematical model of spin glass. We recently proposed a novel computing system to implement the NP-hard Ising problems using the criticality of laser [24,25,26,27] and degenerate optical parametric oscillator (DOPO) phase transition [28,29]. The invention of this machine is motivated by the well-known principle of laser and DOPO in which the mode with a minimum loss rate is most likely to be excited first.

A Proposed Machine
Quantum parallel search
Quantum filtering
Spontaneous symmetry breaking
Quantum-to-classical crossover
Quantum Theory of Coherent Ising Machines
Working Equations
Turn-on Delay Time
Numerical Simulations
Measurement-Feedback Control
Application to Various Problems
Via MAX-2-SAT
Findings
Via 3-body problem
Conclusions
Full Text
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