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 presents precise determinations of the relative mixing constant for the energy-momentum tensor in the 2d O(3) nonlinear sigma model using a modified lattice action and gradient flow, while highlighting that the overall normalization remains inaccessible due to significant discretization artifacts.
This paper demonstrates a viable platform for simulating the (1+1) dimensional Abelian Higgs model on superconducting transmon qutrit processors by experimentally realizing and comparing a resource-efficient pulse-based hybrid analog-digital protocol with a gate-based Trotterized approach, both leveraging the natural mapping of three-level systems to spin-1 field observables.
This paper presents a new lattice QCD determination of the tetraquark binding energy using relativistic heavy-quark actions, yielding results of approximately $-79$ MeV that are consistent with prior NRQCD findings but exhibit reduced magnitude due to the exclusive use of symmetric correlation matrices with local four-quark operators.
This paper extends a normalizing-flow-based density-of-states approach to (1+1)D U(1) lattice gauge theory by employing gauge-equivariant flows to successfully reproduce known analytic results without a -term and enable the generation of configurations at fixed topological charge in its presence.
Using lattice-derived quark-antiquark potentials, this study demonstrates that strong magnetic fields induce anisotropic confinement that significantly lowers the masses of radially excited quarkonium states, particularly for longitudinal spin eigenstates, thereby offering a distinct signature for future lattice verification.
Using a soft-wall holographic QCD model calibrated to reproduce the physical pion mass and pseudocritical temperature, this study demonstrates that while chiral symmetry restoration is clearly signaled by the degeneracy of chiral partner meson screening masses near , the restoration of axial symmetry occurs at a distinctly higher temperature ( GeV), highlighting a qualitative limitation of the model in describing the axial anomaly compared to Lattice QCD.
This paper addresses the computational challenge of evaluating electromagnetic corrections to lattice QCD correlators by introducing and comparing factorization techniques for the position-space photon propagator that reduce the volume-squared complexity of the required sums, with applications demonstrated for hadronic vacuum polarization and the hadronic light-by-light contribution to the muon .
This paper presents an ongoing update of the nucleon axial-vector charge using the superfine lattice ensemble of the PACS10 gauge configurations at the physical point, while also examining low-energy relations derived from the PCAC relation to verify the consistency of lattice QCD data with continuum physics.
This paper reports on the computation of the low-lying glueball and non-singlet meson spectra in quenched SU(6) Yang-Mills theory using a multilevel sampling algorithm and APE-smeared Wilson loops to reduce statistical noise and optimize operator overlap for large- extrapolation.
This paper proposes an inductive construction for parametric quantum circuits and introduces a hybrid quantum-classical algorithm based on Voronoi diagrams to estimate best-approximation errors, thereby characterizing the trade-offs between circuit complexity, noise, and expressivity in variational quantum simulations.