Phase-space simulations of feedback coherent Ising machines
Simon Kiesewetter, Peter D Drummond (Swinburne University of, Technology, Melbourne, Australia)
TL;DR
This paper introduces a novel phase-space simulation method for the feedback coherent Ising machine, enabling exact quantum simulations of complex optimization problems with improved success rate analysis.
Contribution
It presents a scalable positive-P phase-space simulation technique for the coherent Ising machine, allowing for precise quantum modeling of feedback-based photonic networks.
Findings
Successful simulation of feedback coherent Ising machines
Demonstrated scalability of the phase-space algorithm
Achieved measurable success rates in quantum optimization
Abstract
A new technique is demonstrated for carrying out exact positive-P phase-space simulations of the coherent Ising machine quantum computer. By suitable design of the coupling matrix, general hard optimization problems can be solved. Here, computational quantum simulations of a feedback type of photonic parametric network are carried out, which is the implementation of the coherent Ising machine. Results for success rates are obtained using this scalable phase-space algorithm for quantum simulations of quantum feedback devices.
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