Work

Strategies for solving the Fermi-Hubbard model on near-term quantum computers

Year: 2020

Type: article

Abstract: One of the main applications of near-term quantum computers is expected to be solving many-body quantum systems. The present study reports on extensive optimization and numerical investigation of the Variational Quantum Eigensolver method for the iconic Fermi-Hubbard model, including the effect of realistic measurements and noise. The presented optimized circuits use up to an order of magnitude fewer gates than previously reported, suggesting that quantum circuits with a gate depth substantially below 1000 could be sufficient to solve instances beyond the capacity of classical exact diagonalization.

Source: Physical review. B./Physical review. B

DOI: 10.1103/physrevb.102.235122

Authors: Chris Cade, Lana Mineh, Ashley Montanaro, Stasja Stanisic

Institutions: Phasecraft Ltd. (United Kingdom), University of Bristol

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Engineering and Physical Sciences Research Council

Awards: EPSRC Centre for Doctoral Training in Quantum Engineering, G5404777626, Prosperity Partnership in Quantum Software for Modeling and Simulation