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 dimensional expressivity analysis, a hybrid quantum-classical method for identifying and removing redundant parameters in parametric quantum circuits to optimize their expressivity and minimize noise, thereby enabling the automated, on-the-fly construction of efficient circuits for variational quantum simulations.
This paper proposes a singular-value-decomposition-free method for constructing initial tensor networks and demonstrates that while Tensor Renormalization Group (TRG) results depend heavily on these initial tensors, this dependence can be eliminated and numerical robustness significantly improved by employing the boundary TRG technique.
This paper proposes and demonstrates a method using tensor network states within the Hamiltonian formalism to accurately compute parton distribution functions for the vector meson in the massive Schwinger model directly in Minkowski space, thereby overcoming the limitations of Euclidean lattice calculations and offering a pathway for quantum simulations.
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 .