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.

⚛️ lattice

SCET sum rules for BD1(2420)B\to D_1(2420) and BD1(2430)B\to D_1'(2430) form factors at next-to-leading order

This paper presents the first next-to-leading order calculation of BD1(2420)B \to D_1(2420) and BD1(2430)B \to D'_1(2430) transition form factors using soft-collinear effective theory light-cone sum rules, deriving factorization formulae, isolating excited states from ground-state contamination, and providing phenomenological predictions for branching fractions and lepton flavor universality ratios.

Jun-Wei Zhang, Yong-Kang Huang2026-07-13
⚛️ lattice

Dilaton Effective Field Theory across the Conformal Edge

This paper demonstrates that dilaton effective field theory serves as a diagnostic tool to distinguish between near-conformal confining and infrared conformal gauge theories, successfully classifying the SU(3)SU(3) theory with Nf=8N_f=8 fundamental fermions as confining and the SU(2)SU(2) theory with Nf=1N_f=1 adjoint fermion as infrared conformal through the analysis of lattice data.

Thomas Appelquist, James Ingoldby, Maurizio Piai2026-07-10
⚛️ lattice

Diffusion Models for Sampling Near Criticality in Lattice Field Theories

This paper demonstrates that generative diffusion models, trained on small lattice volumes and validated against hybrid Monte Carlo methods, can effectively sample near-critical lattice ϕ4\phi^4 theories across various phases and generalize to unseen larger volumes without retraining, offering a scalable solution for large-volume sampling in lattice field theories.

Yang-yang Tan, Gert Aarts, Diaa E. Habibi, Biagio Lucini, Lingxiao Wang2026-07-10
⚛️ lattice

Weight-Space Physics: Interpretable Hypernetworks for Lattice Quantum Field Theories

This paper introduces JEPAWG, a Joint-Embedding Predictive Architecture-based weight generator that maps coupling constants directly to normalizing flow weights, demonstrating that the network's latent space can recover critical physical phenomena like phase transitions and finite-size scaling, thereby establishing network weights themselves as interpretable physical observables for lattice field theories.

Tobias Göbel, Julian R. Ebelt, Zier Mensch, Mathis Gerdes, Miranda C. N. Cheng2026-07-09
⚛️ lattice

Semileptonic ΩbΩcνˉΩ_{b}^{*}\rightarrowΩ_{c}^{*} \ell \barν_{\ell} transition in QCD

This paper employs the QCD sum rule method to calculate the form factors and decay widths for the semileptonic weak transition ΩbΩcνˉ\Omega_{b}^{*} \rightarrow \Omega_{c}^{*} \ell \bar{\nu}_{\ell}, providing theoretical benchmarks for future experimental studies of excited heavy baryon dynamics.

A. Amiri, P. Eslami, K. Azizi, R. Jafariseyedabad2026-07-08
⚛️ lattice

Digital Quantum Simulation of Nonequilibrium Dynamics in the Schwinger Model under a Strong External Electric Field

This paper demonstrates that combining variational quantum eigensolver state preparation with digital real-time evolution effectively simulates the nonequilibrium dynamics of the Schwinger model under strong external electric fields, accurately reproducing key phenomena such as vacuum state flips, boundary charge separation, and energy redistribution compared to exact diagonalization.

Haobin Chen, Lin Cheng, Xingyu Guo2026-07-07✓ Author reviewed