Resource-efficient simulations of particle scattering on a digital quantum computer

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Authors: Yahui Chai, Joe Gibbs, Vincent Richard Pascuzzi, Zoë Holmes, Stefan Kühn, Francesco Tacchino, Ivano Tavernelli
Cited by: 0
References: 77

Abstract

Abstract We develop and demonstrate methods for simulating the scattering of particle wave packets in the interacting Thirring model on digital quantum computers, with hardware implementations on up to 80 qubits. We identify low-entanglement time slices of the scattering dynamics and exploit their efficient representation by tensor networks. Circuit compression based on matrix product state techniques yields on average a reduction by a factor of 3.2 in circuit depth compared to conventional approaches, allowing longer evolution times to be evaluated with higher fidelity on contemporary quantum processors. Utilizing zero-noise extrapolation in combination with Pauli twirling, on quantum hardware we accurately simulate the full scattering dynamics on 40 qubits, and further demonstrate the tensor networks compressed state preparation on 80 qubits.

Fields of Study & Subjects

Quantum Computing Algorithms and Architecture Computational Physics and Python Applications Quantum Information and Cryptography

Publication details

Journal / source
npj Quantum Information
Publisher
Springer Science and Business Media LLC
Volume
12
Issue
1
Publication date
6 July 2026
Language
EN