⚛️ Category

hep-lat

630 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.

⚛️ lattice

Factorizing the position-space photon propagator in QED corrections to lattice QCD correlators

This paper addresses the computational challenge of evaluating electromagnetic corrections to lattice QCD correlators by introducing and comparing factorization techniques for the position-space photon propagator that reduce the volume-squared complexity of the required sums, with applications demonstrated for hadronic vacuum polarization and the hadronic light-by-light contribution to the muon (g−2)(g-2).

Dominik Erb, Harvey B. Meyer, Konstantin Ottnad2026-03-16
⚛️ lattice

Recent update of nucleon axial-vector charge with the PACS10 superfine lattice

This paper presents an ongoing update of the nucleon axial-vector charge using the superfine lattice ensemble of the PACS10 gauge configurations at the physical point, while also examining low-energy relations derived from the PCAC relation to verify the consistency of lattice QCD data with continuum physics.

Masato Nagatsuka, Yasumichi Aoki, Ken-Ichi Ishikawa, Yoshinobu Kuramashi, Shoichi Sasaki, Kohei Sato, Eigo Shintani, Ryu (…)2026-03-16
⚛️ lattice

Dimensional Expressivity Analysis, best-approximation errors, and automated design of parametric quantum circuits

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.

Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Manuel Schneider, Paolo Stornati2026-03-13
⚛️ lattice

Parton Distribution Functions in the Schwinger model from Tensor Network States

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.

Mari Carmen Bañuls, Krzysztof Cichy, C. -J. David Lin, Manuel Schneider2026-03-13
⚛️ lattice

Observation of Robust and Coherent Non-Abelian Hadron Dynamics on Noisy Quantum Processors

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.

Fran Ilčić, Ritajit Majumdar, Emil Mathew, Md. Osama Ali, Nathan Earnest-Noble, Indrakshi Raychowdhury2026-03-12