TL;DR
This paper demonstrates real-time simulation of gauge-invariant lattice models on NISQ quantum computers, utilizing error mitigation techniques to overcome hardware noise and decoherence, advancing quantum simulation of gauge theories.
Contribution
It introduces methods for simulating gauge-invariant models on NISQ hardware with error mitigation, providing practical strategies for future large-scale quantum lattice gauge theory computations.
Findings
Error mitigation improves measurement accuracy on NISQ devices.
Circuit design impacts the fidelity of gauge-invariant observables.
Hardware-agnostic techniques like circuit folding are effective within hardware limitations.
Abstract
Practical quantum computing holds clear promise in addressing problems not generally tractable with classical simulation techniques, and some key physically interesting applications are those of real-time dynamics in strongly coupled lattice gauge theories. In this article, we benchmark the real-time dynamics of and gauge invariant plaquette models using noisy intermediate scale quantum (NISQ) hardware, specifically the superconducting-qubit-based quantum IBM Q computers. We design quantum circuits for models of increasing complexity and measure physical observables such as the return probability to the initial state, and locally conserved charges. NISQ hardware suffers from significant decoherence and corresponding difficulty to interpret the results. We demonstrate the use of hardware-agnostic error mitigation techniques, such as circuit folding methods…
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