Abstract

Simulated quantum annealing based on the path-integral Monte Carlo is one of the most common tools to simulate quantum annealing on classical hardware. Nevertheless, it is in principle highly non-trivial whether or not this classical algorithm can correctly reproduce the quantum dynamics of quantum annealing, particularly in the diabatic regime. We study this problem numerically through the generalized Kibble-Zurek mechanism of defect distribution in the simplest ferromagnetic one-dimensional transverse-field Ising model with and without coupling to the environment. We find that,in the absence of coupling to the environment, simulated quantum annealing correctly describes the annealing-time dependence of the average number of defects, but a detailed analysis of the defect distribution shows clear deviations from the theoretical prediction. When the system is open (coupled to the environment), the average number of defects does not follow the theoretical prediction but is qualitatively compatible with the numerical result by the infinite time-evolving block decimation combined with the quasi-adiabatic propagator path integral, which is valid in a very short time region. The distribution of defects in the open system turns out to be not far from the theoretical prediction. It is surprising that the classical stochastic dynamics of simulated quantum annealing ostensibly reproduce some aspects of the quantum dynamics. However, a serious problem is that it is hard to predict for which physical quantities in which system it is reliable. Those results suggest the necessity to exert a good amount of caution in using simulated quantum annealing to study the detailed quantitative aspects of the dynamics of quantum annealing.

Highlights

  • Quantum annealing was originally proposed as a metaheuristic to solve classical combinatorial optimization problems [1,2,3,4,5,6,7,8,9,10]

  • As suggested in Ref. [17], taking into account the fact that the infinite-time-evolving block decimation (iTEBD)-quasiadiabatic propagator path integral (QUAPI) reproduces quantum dynamics for very short times, this nonuniversality of the Simulated quantum annealing (SQA) data may imply that the system is still in a transient state and much longer annealing times for much larger systems may show a value of b independent α as expected from universality seen in the equilibrium Monte Carlo simulation [46]

  • We have studied the problem from the point of view of nonequilibrium dynamics across a critical point in the open system keeping in mind that the data from SQA is known to agree with the prediction of the original Kibble-Zurek mechanism in the closed one-dimensional system without disorder [35]

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Summary

INTRODUCTION

Quantum annealing was originally proposed as a metaheuristic to solve classical combinatorial optimization problems [1,2,3,4,5,6,7,8,9,10]. Simulated quantum annealing (SQA) is another powerful classical tool that uses the path-integral Monte Carlo [2,5,18,23,25,26,27,28,29,30,31,32,33,34,35] The latter method is in principle designed to simulate equilibrium properties of quantum systems without a sign problem [36]. The present paper has a different point of view, i.e., not to examine the behavior of the D-Wave device but to study how far SQA is useful to explain the dynamical properties of the quantum system through comparison of the SQA data with the predictions of the generalized Kibble-Zurek mechanism as well as with the data from the iTEBD-QUAPI. Simulated quantum annealing is supposed to simulate the dynamical behavior of this system

Closed- and open-system Hamiltonians
Method
Physical quantities
Closed system
Open system
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