Work

Benchmarking quantum annealing dynamics: The spin-vector Langevin model

Year: 2022

Type: article

Abstract: The classical spin-vector Monte Carlo (SVMC) model is a reference benchmark for the performance of a quantum annealer. Yet, as a Monte Carlo method, SVMC is unsuited for an accurate description of the annealing dynamics in real-time. We introduce the spin-vector Langevin (SVL) model as an alternative benchmark in which the time evolution is described by Langevin dynamics. The SVL model is shown to provide a more stringent test than the SVMC model for the identification of quantum signatures in the performance of quantum annealing devices, as we illustrate by describing the Kibble-Zurek scaling associated with the dynamics of symmetry breaking in the transverse field Ising model, recently probed using D-Wave machines. Specifically, we show that D-Wave data are reproduced by the SVL model.

Source: Physical Review Research

DOI: 10.1103/physrevresearch.4.023104

Authors: David Subires, Fernando J. Gómez-Ruiz, Antonia Ruiz-García, Daniel Alonso, Adolfo del Campo

Institutions: Donostia International Physics Center, Consejo Superior de Investigaciones Científicas, Instituto de Física Fundamental, Universidad de La Laguna, University of Luxembourg

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,625

Funders: Université du Luxembourg, Ministerio de Economía y Competitividad, European Regional Development Fund