Quantum Annealing: from Viewpoints of Statistical Physics, Condensed Matter Physics, and Computational Physics

TL;DR

This paper reviews quantum annealing from multiple physics perspectives, highlighting its potential as an efficient optimization solver demonstrated in statistical physics contexts and discussing future technological developments.

Contribution

It provides a multidisciplinary review of quantum annealing, emphasizing its theoretical foundations, practical implementations, and future prospects across various scientific fields.

Findings

Quantum annealing improves solutions to optimization problems.

Efficiency demonstrated in statistical physics-based problems.

Future technological and theoretical developments are anticipated.

Abstract

In this paper, we review some features of quantum annealing and related topics from viewpoints of statistical physics, condensed matter physics, and computational physics. We can obtain a better solution of optimization problems in many cases by using the quantum annealing. Actually the efficiency of the quantum annealing has been demonstrated for problems based on statistical physics. Then the quantum annealing has been expected to be an efficient and generic solver of optimization problems. Since many implementation methods of the quantum annealing have been developed and will be proposed in the future, theoretical frameworks of wide area of science and experimental technologies will be evolved through studies of the quantum annealing.