A Euclidean Monte-Carlo-informed route to ground-state preparation for quantum simulation of scalar field theory

Fuente: arXiv
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Main Authors: Gupta, Navya, White, Christopher David, Davoudi, Zohreh
Format: Preprint
Published: 2025
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_version_ 1866914121209872384
author Gupta, Navya
White, Christopher David
Davoudi, Zohreh
author_facet Gupta, Navya
White, Christopher David
Davoudi, Zohreh
contents Quantum simulators hold great promise for studying real-time (Minkowski) dynamics of quantum field theories. Nonetheless, preparing non-trivial initial states remains a major obstacle. Euclidean-time Monte-Carlo methods yield ground-state spectra and static correlation functions that can, in principle, guide state preparation. In this work, we exploit this classical information to bridge Euclidean and Minkowski descriptions for a (1+1)-dimensional interacting scalar field theory. We propose variational ansatz families which achieve comparable ground-state energies, yet exhibit distinct correlations and local non-Gaussianity. By optimizing selected wavefunction moments with Monte-Carlo data, we obtain ansatzes that can be efficiently translated into quantum circuits. Our algorithmic cost analysis shows these circuits' gate complexity scales polynomially in system size. Our work paves the way for systematically leveraging classically-computed information to prepare initial states in quantum field theories of interest in nature.
format Preprint
id arxiv_https___arxiv_org_abs_2510_24875
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Euclidean Monte-Carlo-informed route to ground-state preparation for quantum simulation of scalar field theory
Gupta, Navya
White, Christopher David
Davoudi, Zohreh
High Energy Physics - Lattice
High Energy Physics - Theory
Nuclear Theory
Quantum Physics
Quantum simulators hold great promise for studying real-time (Minkowski) dynamics of quantum field theories. Nonetheless, preparing non-trivial initial states remains a major obstacle. Euclidean-time Monte-Carlo methods yield ground-state spectra and static correlation functions that can, in principle, guide state preparation. In this work, we exploit this classical information to bridge Euclidean and Minkowski descriptions for a (1+1)-dimensional interacting scalar field theory. We propose variational ansatz families which achieve comparable ground-state energies, yet exhibit distinct correlations and local non-Gaussianity. By optimizing selected wavefunction moments with Monte-Carlo data, we obtain ansatzes that can be efficiently translated into quantum circuits. Our algorithmic cost analysis shows these circuits' gate complexity scales polynomially in system size. Our work paves the way for systematically leveraging classically-computed information to prepare initial states in quantum field theories of interest in nature.
title A Euclidean Monte-Carlo-informed route to ground-state preparation for quantum simulation of scalar field theory
topic High Energy Physics - Lattice
High Energy Physics - Theory
Nuclear Theory
Quantum Physics
url https://arxiv.org/abs/2510.24875