Many-body Quantum Score: a scalable benchmark for digital and analog quantum processors and first test on a commercial neutral atom device

TL;DR

The paper introduces the Many-body Quantum Score (MBQS), a scalable benchmark for quantum processors to evaluate their ability to simulate many-body quantum dynamics, demonstrated on a neutral atom device.

Contribution

It presents the MBQS protocol, a new scalable benchmarking method for quantum processors, supported by analytical, simulation, and experimental results.

Findings

MBQS effectively measures quantum device performance in many-body simulations.

Experimental validation on a neutral atom device shows MBQS's practical applicability.

Results indicate MBQS's robustness and potential as a benchmarking tool for near-term quantum devices.

Abstract

We propose the Many-body Quantum Score (MBQS), a practical and scalable application-level benchmark protocol designed to evaluate the capabilities of quantum processing units (QPUs)--both gate-based and analog--for simulating many-body quantum dynamics. MBQS quantifies performance by identifying the maximum number of qubits with which a QPU can reliably reproduce correlation functions of the transverse-field Ising model following a specific quantum quench. This paper presents the MBQS protocol and highlights its design principles, supported by analytical insights, classical simulations, and experimental data. It also displays results obtained with Ruby, an analog QPU based on Rydberg atoms developed by the Pasqal company. These findings demonstrate MBQS's potential as a robust and informative tool for benchmarking near-term quantum devices for many-body physics.