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 a normalizing flow framework for efficiently calculating all-orders QED corrections in lattice field theory, demonstrating significantly reduced variance across multiple dimensions and the ability to scale from small to large lattices without additional Monte Carlo sampling.
This paper motivates the use of quantum simulation to overcome the exponential computational scaling limitations of classical lattice field theory in studying dense matter and dynamical phenomena, while reviewing current theoretical, algorithmic, and hardware progress and outlining future challenges and opportunities.
This paper proposes a data-driven strategy to predict decays by explicitly incorporating hadronic resonance contributions, such as those from , rather than avoiding them, thereby enabling the use of hadron-collider data and enhancing sensitivity to large New Physics effects across the full kinematic spectrum.
This paper proposes a first-principles framework using gradient flow and renormalization group transformations to analytically derive confinement in QCD, demonstrating that a scale-invariant gluon condensate drives the running coupling to an infrared fixed point consistent with infrared slavery.
The paper argues that analytically continuing Euclidean lattice quantum field theory directly into Minkowski space via inverse Wick rotation is impossible due to nonlocal form factors introduced by discretization, necessitating a prior continuum limit.
This paper demonstrates that autoregressive neural networks can efficiently estimate reduced density matrices and calculate the continuum limit of bipartite entanglement entropies for quantum spin chains by leveraging their correspondence with classical two-dimensional systems, requiring only a single training session for a fixed discretization and volume.
This paper introduces a real-time Wigner-functional lattice framework with a connected-cluster survival criterion to accurately characterize false-vacuum decay rates across the quantum-to-thermal crossover, revealing that global-survival methods can underestimate rates at high temperatures due to multi-seed dynamics while transient effects contaminate fraction observables at low temperatures.
This paper investigates the impact of kinematic skewness on reconstructing Mellin moments of double parton distributions from Euclidean lattice data by analyzing the skewness dependence of hadronic correlation functions through various models.
Using lattice QCD with ensembles at a pion mass of approximately 292 MeV, this study determines finite-volume energies of two-nucleon systems in the and channels and extracts scattering amplitudes via Lüscher's method and the Non-Perturbative Hamiltonian framework, revealing that both the deuteron and di-neutron channels exhibit virtual state poles with binding energies of MeV and MeV, respectively.
This paper demonstrates that diffusion models on Lie groups naturally exhibit a linear decay of the Wilson action expectation value under a specific noise schedule, a behavior that in Euclidean settings requires an explicitly designed drift term, highlighting their suitability for lattice gauge theory applications.