749 papers
Hep-Lat, short for High Energy Physics – Lattice, explores the fundamental forces of nature by simulating particle interactions on a digital grid. Instead of relying solely on abstract equations, researchers in this field use powerful computers to model how quarks and gluons bind together, offering deep insights into the structure of matter that are often impossible to derive analytically.
Gist.Science ensures these complex discoveries from arXiv remain accessible to everyone. We process every new preprint in this category as it is posted, providing both plain-language explanations for the curious and detailed technical summaries for experts. This dual approach bridges the gap between cutting-edge simulation work and broader scientific understanding.
Below are the latest papers in High Energy Physics – Lattice, curated directly from arXiv and ready for you to explore.
This paper introduces a position-space sampling method within the distillation framework to efficiently compute local multiquark operators, demonstrating that including local tetraquark operators significantly alters the extracted finite-volume spectrum and scattering phase shifts of the state.
This paper presents a high-precision lattice QCD determination of the nucleon iso-vector scalar and tensor charges at the physical point by employing a novel "blending" method to suppress excited state contamination across 15 ensembles, yielding the most accurate predictions to date with comprehensive systematic error analysis.
This paper introduces a non-perturbative lattice Monte Carlo method in imaginary time, featuring a novel sampling technique to overcome false vacuum suppression and a new Fermi's Golden Rule-like formula, to accurately calculate quantum tunneling rates, as validated by reproducing one-dimensional Schrödinger equation results.
This paper proposes a family of quantum walks that eliminate fermion and pseudo-doublers while simulating the Dirac equation in the continuum limit by allowing a non-zero probability for the walker to remain at the same point, despite retaining a small number of non-Dirac low-energy solutions.
This paper introduces a new Monte Carlo estimator for flow fields that utilizes coupled Langevin noise to significantly mitigate statistical noise, thereby offering a robust method for addressing critical slowing down and signal-to-noise issues in lattice field theory while also generating unbiased training data for machine learning.
This paper argues that while classical lattice QCD suffices for stable hadron masses, quantum computers offer distinct utility for calculating resonance masses and nuclear properties by overcoming classical barriers like the Maiani-Testa theorem and signal-to-noise issues, a conclusion reached through extensive collaboration with the AI model Claude.
Using MILC's HISQ gauge ensembles with anisotropic Clover and -improved Wilson--Clover actions, this study investigates the tetraquark spectrum across varying quark masses and operator bases, employing a modified Lüscher method to address non-analyticity near the Left Hand Cut.
Using first-principles lattice simulations of SU(3) Yang-Mills theory in Rindler spacetime, this study demonstrates that weak acceleration induces a spatially inhomogeneous confinement-deconfinement phase transition where distinct phases coexist, with a phase boundary consistent with theoretical predictions and a critical temperature matching that of non-accelerated gluodynamics.
Using anisotropic clover fermion discretization on 16 flavor QCD ensembles, the authors present a non-perturbative renormalization framework that accurately determines the bottom quark mass, the full S-wave bottomonium spectrum, and decay constants with uncertainties of 0.1% or less, even on lattices with relatively coarse spacing.
This paper demonstrates that the two-dimensional Rokhsar-Kivelson lattice gauge model intrinsically hosts exact stabilizer eigenstates known as sublattice scars, establishing a direct link between lattice gauge constraints, quantum many-body scarring, and stabilizer quantum information theory.