Comparative Study of the Performance of Quantum Annealing and Simulated Annealing
Hidetoshi Nishimori, Junichi Tsuda, and Sergey Knysh

TL;DR
This paper explores the theoretical relationship between quantum annealing and simulated annealing, showing their spectral equivalence and discussing implications for efficiency and implementation in solving Ising model problems.
Contribution
It establishes a spectral mapping between classical Markovian dynamics and quantum Hamiltonians, revealing differences in efficiency and providing insights into their comparative performance.
Findings
Quantum and classical operators share eigenvalues.
Simulated annealing can be efficiently simulated by quantum annealing.
Quantum annealing is easier to implement and more flexible.
Abstract
Relations of simulated annealing and quantum annealing are studied by a mapping from the transition matrix of classical Markovian dynamics of the Ising model to a quantum Hamiltonian and vice versa. It is shown that these two operators, the transition matrix and the Hamiltonian, share the eigenvalue spectrum. Thus, if simulated annealing with slow temperature change does not encounter a difficulty caused by an exponentially long relaxation time at a first-order phase transition, the same is true for the corresponding process of quantum annealing in the adiabatic limit. One of the important differences between the classical-to-quantum mapping and the converse quantum-to-classical mapping is that the Markovian dynamics of a short-range Ising model is mapped to a short-range quantum system, but the converse mapping from a short-range quantum system to a classical one results in long-range…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
