Quantum Annealing in the transverse Ising Model

秀稔 西森, Hidetoshi Nishimori, 隼一 井上 +1 more

Bikas K. Chakrabarti, Arnab Das

正 鈴木, Sei Suzuki, 秀稔 西森 +2 more

Davide Venturelli, Vadim Smelyanskiy, Alejandro Perdomo‐Ortiz +3 more

Chiaki Yamaguchi

Recently, Heim, R\o nnow, Isakov and Troyer [{\it Science} \textbf{348} (2015) 215] have reported that Monte Carlo simulations for the Ising spin glass model on the square lattice in the physically relevant continuous-imaginary-time limit do not show superiority of quantum annealing (QA) using transverse field against classical annealing (CA). Although the QA schedule that they had used has been using conventionally, however the QA schedule mathematically has no guarantee that the used schedule is the best QA schedule for performance of optimization. We propose a new QA schedule for studying transverse-field-based quantum versus classical annealing of the Ising model. The present QA schedule is made based on the concept of perturbation theory. This QA schedule utilizes a smallest effective transverse field derived in this article. As a case study, we study QA of the Ising spin glass model on the square lattice at low but finite temperature. A new Monte Carlo algorithm using the physically relevant continuous-imaginary-time limit is performed. As the simulation results, we show superiority of QA against CA when the annealing time is spent enough.

Sei Suzuki, Hidetoshi Nishimori, Masuo Suzuki

We introduce transverse ferromagnetic interactions, in addition to a simple transverse field, to accelerate the convergence of quantum annealing of the random-field Ising model. The conventional approach using only the transverse-field term is known to be plagued by slow convergence when the true ground state has strong ferromagnetic characteristics for the random-field Ising model. The transverse ferromagnetic interactions are shown to improve the performance significantly in such cases. This conclusion is drawn from the analyses of the energy eigenvalues of instantaneous stationary states as well as by the very fast algorithm of Bethe-type mean-field annealing adopted to quantum systems. The present study highlights the importance of a flexible choice of the type of quantum fluctuations to achieve the best possible performance in quantum annealing. The existence of such flexibility is an outstanding advantage of quantum annealing over simulated annealing.