630 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 diagnoses performance limitations in Rydberg-ladder gauge simulators by analyzing bitstring measurements from the Aquila platform, revealing that while readout mitigation is effective, residual errors in probability estimation are primarily driven by imperfect state preparation rather than readout noise.
This paper presents an infinite-dimensional matrix representation for arbitrary gauge-invariant operators at a trivalent vertex within the loop-string-hadron (LSH) framework for SU(3) lattice Yang-Mills theory, establishing a standalone computational approach that significantly outperforms the traditional Schwinger-boson method and includes a companion code to facilitate Hamiltonian-based quantum chromodynamics calculations.
This paper presents the first systematic lattice QCD study of proton- scattering across multiple pion masses and lattice spacings, yielding scattering parameters and cross sections that agree with experimental data and confirm attractive interactions critical for nuclear theory and neutron star modeling.
This chapter reviews the physics of lattice fermions satisfying the Ginsparg-Wilson relation, explains their connection to domain wall fermions, and outlines the methodology for numerical simulations using overlap fermions as part of the "Lattice QCD at 50 years" book.
This paper establishes universal principles and practical frameworks for simulating non-Abelian gauge theories on quantum computers by demonstrating that both gauge-singlet and non-singlet representations are valid, offering efficient circuit constructions, error analyses, and resource estimates for real-world QCD applications.
This paper introduces a generative framework based on denoising diffusion to perform model-independent, non-parametric reconstruction of proton gravitational form factors from sparse and noisy data, enabling robust extraction of chiral low-energy constants and the nucleon D-term across the full kinematic range.
This paper summarizes the achievements of the MexNICA Collaboration, established in 2016 to coordinate Mexican participation in the MPD-NICA experiment at JINR, highlighting their contributions to the development of the miniBeBe trigger detector and advances in phenomenological and theoretical studies of the baryon-rich QCD phase diagram.
This paper reformulates the strong coupling expansion of large- QCD as constrained one-dimensional spin chains, demonstrating that while specific subsectors remain integrable, the full system loses integrability due to zigzag symmetry constraints, yet still successfully estimates the roughening transition point.
This paper introduces a novel virtual rishon framework that enforces gauge symmetry via intermediate quantum-link representations to enable scalable simulations of lattice gauge theories in d+1 dimensions using both classical tensor networks and near-term quantum hardware, validated by benchmarking on the multi-flavor Schwinger model and 2D string tension.
This paper reports on large-scale lattice studies of the Corrigan--Ramond large- limit of Yang-Mills theory, utilizing gradient flows to analyze topological charge properties and discretisation effects, ultimately concluding that current simulations at lattice spacings of 0.08–0.11 fm are subject to approximately 10% discretisation errors.