542 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 investigates the chiral anomaly of Kogut-Susskind fermions in a (3+1)-dimensional Hamiltonian formalism by defining a non-onsite axial charge that, while generally non-conserved, satisfies the continuum anomalous conservation law for specific link configurations, as confirmed by numerical simulations.
By mapping the high-density heavy-quark limit of QCD to a three-dimensional three-state Potts model with a complex external field, the study reveals that the finite-temperature phase transition evolves from first-order to crossover and back to first-order as density increases, strongly suggesting a first-order transition persists in the high-density heavy-quark region of QCD.
This paper presents an extension of the Evolving density matrices on Qubits (EOQ) framework that overcomes the fermionic sign problem by combining classical stochastic sampling with linear combinations of unitaries, enabling efficient fault-tolerant preparation of fermionic states with circuit complexity and validated through simulations of the Thirring model.
This paper demonstrates that the autonomous AI system PhysMaster can fully automate the complex, multi-step extraction of the Collins-Soper kernel from Lattice QCD data, reducing the workflow duration from months to hours while achieving precision consistent with state-of-the-art traditional methods and stabilizing signals at large transverse separations.
This paper presents a quantitative lattice study of two-color QCD at finite chemical potential, revealing that chromo-electromagnetic field strengths undergo a finite-volume crossover near with initial suppression followed by enhancement, while the difference between squared electric and magnetic fields grows monotonically with density.
This paper presents lattice QCD results for the topological susceptibility, chiral condensate, and disconnected susceptibility using 2+1 flavor Möbius domain wall fermions at the physical point across a finite temperature range of approximately 140 MeV to 500 MeV.
This paper proposes a systematic, prior-free framework that constructs an orthogonal functional basis from Euclidean correlators to extract robust constraints and global structures of spectral functions, serving as a complementary preprocessing tool for existing reconstruction techniques rather than a direct reconstruction method.
This paper proposes a theoretical framework based on spectral-density methods to compute complex, long-distance contributions from "charming penguin" and chromomagnetic operators in and decay amplitudes using lattice QCD, addressing key challenges such as on-shell intermediate states and ultraviolet divergences through non-perturbative renormalization.
This paper presents the first lattice QCD determination of the electromagnetic form factors for the tetraquark, revealing its internal structure as a compact bound state of a heavy diquark and a light antidiquark with a charge radius significantly smaller than that of the threshold.
This paper extends a newly introduced framework for single-diffractive hard exclusive processes to the specific case of exclusive real-photon electroproduction, offering a more systematic and transparent approach for extracting generalized parton distributions (GPDs) from experimental data.