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This research advances real-time quantum simulation techniques by enabling the reconstruction of thermal physics properties, such as temperature and chemical potential, without requiring difficult-to-prepare thermal states. By extending existing integral transform methods to lattice Schwinger models, the study demonstrates a pathway for simulating finite-density quantum field theories using current noisy intermediate-scale quantum (NISQ) devices. The work provides critical methodological insights for leveraging real-time dynamics to solve problems traditionally dependent on imaginary-time evolution.
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MORE Thermal Gauge Theories at Finite $\theta$ and $\mu$ from Real-Time Quantum Simulation

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2609.38569v1 Announce Type: cross Abstract: Imaginary-time evolution can be reconstructed from real-time quantum simulations using exact integral transforms. We identify the construction of Guo, Shibu, Lin, and Zhao as a continuous linear combination of Hamiltonian simulations and show that its slow $1/t_{\rm cut}$ convergence arises from a redundant kernel component. We extend the construction from pure-state matrix elements to thermal traces and correlators. One real-time dataset then reconstructs targeted inverse temperatures, Euclidean separations, and chemical potentials through classical post-processing, bringing finite-$(T,\theta,\mu)$ physics within reach of real-time quantum simulation without thermal-state preparation. We benchmark the method on one- and two-flavor lattice Schwinger models, including circuit-level simulations with depolarizing noise.

Abstract:Imaginary-time evolution can be reconstructed from real-time quantum simulations using exact integral transforms. We identify the construction of Guo, Shibu, Lin, and Zhao as a continuous linear combination of Hamiltonian simulations and show that its slow $1/t_{\rm cut}$ convergence arises from a redundant kernel component. We extend the construction from pure-state matrix elements to thermal traces and correlators. One real-time dataset then reconstructs targeted inverse temperatures, Euclidean separations, and chemical potentials through classical post-processing, bringing finite-$(T,\theta,\mu)$ physics within reach of real-time quantum simulation without thermal-state preparation. We benchmark the method on one- and two-flavor lattice Schwinger models, including circuit-level simulations with depolarizing noise.

arXiv:2609.38569 [hep-lat]

(or arXiv:2609.38569v1 [hep-lat] for this version)

https://doi.org/10.48550/arXiv.2609.38569 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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