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.
Using QCD light-cone sum rules, this study calculates the magnetic dipole moments of doubly-bottom molecular pentaquarks in various configurations, revealing that these moments are highly sensitive to the internal spin structure and quark composition, thereby offering a valuable tool for distinguishing between different molecular states in future experiments.
Using the blending method and distillation framework on an lattice ensemble, this study confirms that the disconnected contribution to the neutral pion transition form factor is approximately 1% of the connected part and shares the same sign, thereby enabling constructive interference.
This paper presents a case study from lattice QCD research to illustrate the complex challenges of authorship and credit attribution arising from software contributions, aiming to foster transparency and stimulate discussion on establishing better community standards for recognizing long-term research software infrastructure.
This paper presents a quantum signal processing algorithm for the overlap fermion Hamiltonian that preserves the Ginsparg-Wilson relation with controllable error, offering a nearly free quantum simulation of chiral symmetry with logarithmic overhead compared to the Wilson-Dirac Hamiltonian and reduced qubit costs relative to domain-wall fermions.
This paper provides an overview of quark flavor physics presented at Lattice 2023, focusing on lattice-QCD inputs for determining CKM matrix parameters and reviewing selected processes used to search for physics beyond the Standard Model, while excluding topics covered in other plenary talks.
This paper presents the first lattice QCD calculation of the irreducible Standard Model background for the decay , determining its branching fraction to be and providing a critical theoretical benchmark for future dark matter searches via radiative invisible quarkonium decays.
This paper presents a sign-problem-free variational Monte Carlo framework using neural quantum states and gauge-covariant Gaussian fermionic corrections to determine the ground state of continuous SU(2) lattice gauge theories coupled to dynamical staggered fermions, successfully validating the method against perturbation theory and mapping the system's phase diagram.
Using a continuous-group variational Monte Carlo approach without truncation, this study maps the ground-state phase diagram of D SU lattice gauge theory with dynamical fermions, identifying a magnetic-flux transition and a gauge-matter delocalization crossover that reveal the emergence of coherent gauge-assisted matter dynamics.
This paper presents a representation-based framework for quantum simulations of lattice SU() gauge theory with quarks, demonstrating noiseless simulations of Lattice QCD on small lattices up to 32 qubits in two and three spatial dimensions to showcase phenomena such as theta angle effects, hadronic states, string dynamics, and baryon chemical potential.
This paper investigates the finite-size scaling of bitstring probability distributions in Rydberg ladders, demonstrating that while low-probability states become increasingly dense as system size grows, the exponential increase in the number of shots required to capture them poses significant challenges for accurately calculating vacuum observables.