450 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 demonstrates that specific multipartite entanglement quantities, constructed from strong subadditivity, weak monotonicity, and conformal properties, serve as highly efficient and localized indicators for identifying critical points in 1+1D quantum systems, with their detection capabilities further enhanced by a mutual information-based lower bound and a filtering process.
This paper employs both machine learning techniques and an extended analytical mass formula to predict the mass spectra of fully-heavy baryons and exotic pentaquarks, offering complementary insights that align with existing experimental data and guide future searches for unobserved states.
This study demonstrates the first observation of robust, coherent non-Abelian hadron dynamics on a noisy 156-qubit quantum processor by simulating a 60-site SU(2) lattice gauge theory using a hardware-efficient encoding, successfully capturing meson propagation and breathing modes while outperforming classical approximation methods in the weak-coupling regime.
This paper presents an efficient implementation of the Quantum Minimally Entangled Typical Thermal States (QMETTS) algorithm for gauge theories at finite temperature and density, featuring derived measurement bases to preserve gauge invariance, a noise-robust sampling method for expectation values, and numerical validation on a (1+1)-dimensional model.
This paper presents a study of the mass spectra and mass differences of heavy hadrons containing bottom quarks using MILC's 2+1+1 flavor HISQ gauge ensembles, employing a mixed-action approach with NRQCD for bottom quarks, anisotropic Clover for charm, and O(a)-improved Wilson-Clover for light and strange quarks.
Using a unified chiral effective field theory framework calibrated with lattice QCD data, this study predicts repulsive interactions for the system while identifying strong attractive forces in the system that support bound states, with significant mass splitting between channels driven by two-pion exchange spin-spin terms.
This paper presents a first-principles lattice QCD calculation of the proton-proton fusion matrix element at an unphysical pion mass, demonstrating the feasibility of the approach while highlighting that large uncertainties in two-nucleon scattering parameters currently limit the precision of the extracted low-energy constant .
Based on recent lattice evidence and 't Hooft anomaly constraints, this paper proposes that the chiral phase transition in hot QCD for massless flavors may be described by a conformal manifold of -dependent universality classes featuring an exactly marginal operator related to baryon density, rather than a standard Ginzburg-Landau critical point.
This paper presents a hybrid quantum-classical algorithm utilizing a universal Euler-Cartan parametrized circuit ansatz to efficiently compute non-perturbative characteristics, such as energy spectra and excitation states, of quantum field theories on lattice realizations with both short and long-range interactions.
This paper investigates the two-body nonleptonic decays of into accompanied by pseudoscalar or vector mesons using the naive factorization approach, calculating decay amplitudes across various topologies to determine rates and branching ratios for comparison with other theoretical predictions and experimental data.