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.

Study of the ΩcccΩcccΩ_{ccc}Ω_{ccc} and ΩbbbΩbbbΩ_{bbb}Ω_{bbb} dibaryons in QCD Sum Rules

Using QCD sum rules with the iterative dispersion relation method to handle complex loop diagrams, this study predicts that scalar ΩcccΩccc\Omega_{ccc}\Omega_{ccc} and ΩbbbΩbbb\Omega_{bbb}\Omega_{bbb} dibaryons lie lower in energy than their tensor counterparts, with the former appearing as a resonance just above the threshold and the latter potentially forming bound states.

Xu-Liang Chen, Jin-Peng Zhang, Zi-Xi Ou-Yang, Wei Chen, Jia-Jun Wu2026-02-26⚛️ hep-lat

Trade-offs in Gauss's law error correction for lattice gauge theory quantum simulations

This paper reveals fundamental trade-offs in Gauss's law-based quantum error correction for 1+1D lattice QED, demonstrating that while it can reduce qubit overhead and offer lower single-round error rates, it imposes strict constraints on electric field configurations and ultimately leads to faster decoherence to mixed states compared to universal codes under repeated error correction cycles.

Balint Pato, Natalie Klco2026-02-26⚛️ hep-lat

Lattice Gauge Theory via LLVM-Level Automatic Differentiation

This paper presents a method for automatically generating Hybrid Monte Carlo forces in lattice gauge theory by applying reverse-mode automatic differentiation directly to optimized LLVM intermediate representation, enabling a single-source workflow that produces performance-portable, high-performance force implementations for both CPU and GPU backends without the need for manual derivation.

Yuki Nagai, Akio Tomiya, Hiroshi Ohno2026-02-25⚛️ hep-lat

Spatial confinement-deconfinement transition in accelerated gluodynamics within lattice simulation

This lattice simulation study demonstrates that weak acceleration in gluodynamics transforms the standard finite-temperature confinement-deconfinement phase transition into a spatial crossover, allowing coexisting phases that follow the Tolman-Ehrenfest law and suggesting similar phenomena may occur near black hole horizons.

Viktor Braguta, Vladimir Goy, Jayanta Dey, Artem Roenko2026-02-25⚛️ hep-lat