544 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.
Using QCD sum rules, this study calculates the mass and width of the axial-vector hadronic molecules and with quark content , predicting a mass of approximately 15.8 GeV and an unstable width of about 114 MeV to guide future experimental searches for fully heavy molecular structures.
This paper introduces a new universality paradigm for hybrid qubit-qumode quantum computing based on trigonometric continuous-variable gates, demonstrating their effectiveness through a deterministic ancilla-based implementation and a successful simulation of the lattice sine-Gordon model, including ground state preparation, real-time dynamics, and kink profile extraction.
This paper proposes a novel machine learning framework that utilizes convolutional neural networks and Wilson lines to efficiently perform lattice gauge fixing in SU(3) gauge theory, demonstrating improved scalability, reduced critical slowing down, and successful transferability of parameters from smaller to larger lattice volumes.
This paper proposes a lattice-ready entanglement observable, the vacuum-subtracted radius flow of Rényi entropy, to extract hadronic gravitational form factors by fitting flow data to a basis of spin-0 and spin-2 templates, thereby enabling the discrimination of scalar versus spin-2 entanglement control through the location and characteristics of the flow's extremum.
This paper demonstrates that a lattice gauge theory on a multi-graph with an odd number of links exhibits symmetry-protected topological order and charge deconfinement via fractionalized solitons, driven by a Peierls-like instability that intertwines gauge flux ordering with bond order waves.
This paper reports progress on calculating the first three nontrivial Mellin moments of kaon light-cone distribution amplitudes and summarizes recent continuum-limit results for the pion fourth moment using dynamical lattice QCD within the heavy-quark operator product expansion framework, demonstrating the method's feasibility for accessing higher moments.
The authors propose and demonstrate the axial anomaly as a robust benchmark for quantum computing by successfully simulating anomalous axial-charge production in lattice gauge theories on the "Reimei" trapped-ion quantum computer, reproducing the exact anomaly coefficient within statistical uncertainties without error mitigation.
This paper proposes a systematic approach to enhance Variational Quantum Eigensolvers for SU(2) lattice gauge theories by utilizing a spin-network basis and a specialized state preparation ansatz to efficiently simulate gauge-invariant excitations while mitigating barren plateaus, demonstrated through noise-resilient simulations on a minimal 3+1 dimensional toy model.
This paper presents a preliminary lattice extraction of the Collins-Soper kernel in Collins' scheme using an auxiliary fermion field representation of the Wilson line, comparing the "ratio" and "double ratio" methods to achieve high statistical precision.
This paper presents the latest hybrid determination of the hadronic vacuum polarisation contribution to the muon magnetic moment by the BMW and DMZ collaborations, achieving 0.45% precision and overturning the theoretical consensus to resolve the long-standing discrepancy with experimental measurements.