Quantum algorithms for the computation of quantum thermal averages at work

Year: 2023

Type: article

Abstract: Recently, a variety of quantum algorithms have been devised to estimate thermal averages on a genuine quantum processor. In this paper, we consider the practical implementation of the so-called Quantum-Quantum Metropolis Algorithm. As a test bed for this purpose, we simulate a basic system of three frustrated quantum spins and discuss its systematics, also in comparison with the Quantum Metropolis Sampling algorithm.

Source: Physical review. D/Physical review. D.

DOI: 10.1103/physrevd.108.114509

Authors: Riccardo Aiudi, Claudio Bonanno, Claudio Bonati, Giuseppe Clemente, Massimo D’Elia, Lorenzo Maio, Davide Rossini, Salvatore Tirone, Kevin Zambello

Institutions: University of Parma, Consejo Superior de Investigaciones Científicas, Instituto de Física Teórica, Universidad Autónoma de Madrid, University of Pisa, Istituto Nazionale di Fisica Nucleare, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Deutsches Elektronen-Synchrotron DESY, Centre National de la Recherche Scientifique, Université de Toulon, Aix-Marseille Université, Centre de Physique Théorique, Scuola Normale Superiore

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, Ministerio de Ciencia e Innovación, Università di Pisa, Instituto Nazionale di Fisica Nucleare, Agencia Estatal de Investigación, Centro de Excelencia en Geotermia de Los Andes

OpenAlex ID: W4390227500