537 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 challenges established views on hot QCD by demonstrating that an intermediate phase exhibits emergent chiral spin symmetry with persistent mesonic excitations, and proposes that thermal quantum field theories are fundamentally composed of non-perturbative "thermoparticles" rather than perturbative degrees of freedom.
This paper presents precise lattice QCD calculations of the ratio in the iso-symmetric limit using a combined Wilson unitary and mixed-action approach, which are subsequently utilized to determine and test the unitarity of the first row of the CKM matrix after incorporating strong isospin-breaking and QED effects.
Using high-precision lattice QCD calculations with controlled continuum extrapolations and gradient flow, this study determines the temperature dependence of shear and bulk viscosities in gluon plasma across the transition region, revealing that the shear viscosity ratio reaches a minimum near while the bulk viscosity ratio decreases monotonically with increasing temperature.
This paper proposes a graph-theoretic mechanism analogous to the Higgs mechanism, where coupling a scalar degree field to a vector-like edge field generates massive excitations with a mass gap, demonstrating that matter-like structures with varying mass and localization properties can emerge solely from the connectivity and density of discrete graphs.
This paper presents Causal Dynamical Triangulations (CDT) as a nonperturbative lattice approach to quantum gravity that successfully demonstrates the dynamical emergence of a classical de Sitter-like universe from a sum over causal triangulations, while revealing unique short-scale properties such as a spectral dimension of approximately 2 and evidence for an ultraviolet fixed point.
This paper predicts and verifies the existence of Quantum Many-Body Scars in spin-1 Quantum Link Models by demonstrating an approximate spectrum-generating algebra in a dualized constrained spin chain, thereby providing diagnostic observables to guide quantum simulations of non-equilibrium gauge theories.
This study employs a deep-learning-assisted quasi-particle model trained on lattice QCD data to efficiently estimate the thermodynamic and transport properties of quark-gluon plasma at finite baryon chemical potential, demonstrating strong agreement with existing calculations.
This paper demonstrates that a compact 4-qubit Quantum Convolutional Neural Network (QCNN) outperforms classical counterparts in classifying entanglement thresholds from fermion density profiles in the Thirring model, highlighting that model trainability and encoding choices are more critical than scaling for extracting quantum information in particle scattering.
This paper demonstrates that lattice quantum electrodynamics functions as a quantum error-correcting code by utilizing quantum reference frames to resolve syndrome degeneracy and construct explicit recovery operations for both pure-gauge and fermionic sectors, thereby revealing the deep information-theoretic significance of gauge symmetry as an encoding structure for noise protection.
This paper demonstrates the feasibility of using gauged Gaussian projected entangled pair states as an ansatz to study a two-dimensional lattice gauge theory with dynamical fermions, successfully reproducing exact diagonalization results for small systems and offering a computationally tractable approach for larger systems that avoids the sign problem.