A Comprehensive Stress Test of Truncated Hilbert Space Bases against Green's function Monte Carlo in U(1) Lattice Gauge Theory

Fuente: arXiv
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Main Authors: Jakobs, Timo, Garofalo, Marco, Hartung, Tobias, Jansen, Karl, Ludwig, Paul, Ostmeyer, Johann, Romiti, Simone, Urbach, Carsten
Format: Preprint
Published: 2025
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author Jakobs, Timo
Garofalo, Marco
Hartung, Tobias
Jansen, Karl
Ludwig, Paul
Ostmeyer, Johann
Romiti, Simone
Urbach, Carsten
author_facet Jakobs, Timo
Garofalo, Marco
Hartung, Tobias
Jansen, Karl
Ludwig, Paul
Ostmeyer, Johann
Romiti, Simone
Urbach, Carsten
contents A representation of Lattice Gauge Theories (LGT) suitable for simulations with tensor network state methods or with quantum computers requires a truncation of the Hilbert space to a finite dimensional approximation. In particular for U(1) LGTs, several such truncation schemes are known, which we compare with each other using tensor network states. We show that a functional basis obtained from single plaquette Hamiltonians -- which we call plaquette state basis -- outperforms the other schemes in two spatial dimensions for plaquette, ground state energy and mass gap, as it is delivering accurate results for a wide range of coupling strengths with a minimal number of basis states. We also show that this functional basis can be efficiently used in three spatial dimensions. Green's function Monte Carlo appears to be a highly useful tool to verify tensor network states results, which deserves further investigation in the future.
format Preprint
id arxiv_https___arxiv_org_abs_2510_27611
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Comprehensive Stress Test of Truncated Hilbert Space Bases against Green's function Monte Carlo in U(1) Lattice Gauge Theory
Jakobs, Timo
Garofalo, Marco
Hartung, Tobias
Jansen, Karl
Ludwig, Paul
Ostmeyer, Johann
Romiti, Simone
Urbach, Carsten
High Energy Physics - Lattice
A representation of Lattice Gauge Theories (LGT) suitable for simulations with tensor network state methods or with quantum computers requires a truncation of the Hilbert space to a finite dimensional approximation. In particular for U(1) LGTs, several such truncation schemes are known, which we compare with each other using tensor network states. We show that a functional basis obtained from single plaquette Hamiltonians -- which we call plaquette state basis -- outperforms the other schemes in two spatial dimensions for plaquette, ground state energy and mass gap, as it is delivering accurate results for a wide range of coupling strengths with a minimal number of basis states. We also show that this functional basis can be efficiently used in three spatial dimensions. Green's function Monte Carlo appears to be a highly useful tool to verify tensor network states results, which deserves further investigation in the future.
title A Comprehensive Stress Test of Truncated Hilbert Space Bases against Green's function Monte Carlo in U(1) Lattice Gauge Theory
topic High Energy Physics - Lattice
url https://arxiv.org/abs/2510.27611