State preparation of lattice field theories using quantum optimal control
Jack Y. Araz, Siddhanth Bhowmick, Matt Grau, Thomas J. McEntire and, Felix Ringer

TL;DR
This paper investigates using quantum optimal control to efficiently prepare states in lattice field theories, demonstrating potential speedups over traditional methods, with implications for quantum simulations of fundamental physics.
Contribution
It introduces quantum optimal control techniques for state preparation in lattice field theories, showing potential advantages over gate-based methods and exploring effects of device parameters and noise.
Findings
QOC can significantly speed up ground state preparation.
Speedups depend on device connectivity and noise levels.
Preliminary results on thermal state preparation are promising.
Abstract
We explore the application of quantum optimal control (QOC) techniques to state preparation of lattice field theories on quantum computers. As a first example, we focus on the Schwinger model, quantum electrodynamics in 1+1 dimensions. We demonstrate that QOC can significantly speed up the ground state preparation compared to gate-based methods, even for models with long-range interactions. Using classical simulations, we explore the dependence on the inter-qubit coupling strength and the device connectivity, and we study the optimization in the presence of noise. While our simulations indicate potential speedups, the results strongly depend on the device specifications. In addition, we perform exploratory studies on the preparation of thermal states. Our results motivate further studies of QOC techniques in the context of quantum simulations for fundamental physics.
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