PaperPanorama

HEP Lattice·hep-lat

Tue·Sep 29, 2026

5 papers—1 primary·4 cross-listed

All5Primary1Cross-lists4
  1. 01

    LaMET-Agent: An Agent Framework for Large-Momentum Effective Theory Analysis

    Jinchen He · Xiangyu Jiang · Fei Yao · Dian-Jun Zhao

    Large-momentum effective theory (LaMET) provides a first-principles framework for computing the dependence of light-cone parton distributions from lattice QCD. Over the past decade, theoretical and numerical advances have established a mature multi-stage workflow for systematic calculation of parton physics, although its implementation still requires expert judgment and substantial repeated effort. We present lamet-agent, an open-source large language model (LLM) agent framework that organizes this workflow into an executable, reproducible, and inspectable analysis pipeline. The present release supports collinear quark distributions and implements correlator analysis, renormalization, Fourier transformation, perturbative matching, continuum, physical pion mass and infinite-momentum extrapolations, and automated result review. We validate it on four end-to-end analyses: pion parton distribution functions in the gauge-invariant and Coulomb-gauge formulations, and pion and kaon distribution amplitudes, obtaining results consistent with the published calculations. Extensions to transverse-momentum-dependent distributions, generalized transverse-momentum-dependent distributions, and gluonic distribution functions are planned for subsequent releases.

    hep-latcs.AIhep-ph
  2. 02

    Scattering amplitudes from quantum hardware a la RESOs

    Raul A Briceno · Ivan M Burbano · Anthony N Ciavarella · Ermal Rrapaj · Thomas R Richardson · Andre Walker-Loud

    We report the first quantum-hardware implementation of Real-time Estimators for Scattering Observables (RESOs). The physical model is a one-dimensional lattice theory of non-relativistic spin-1/2 fermions with a single contact interaction. The lattice sizes studied are up to lattice sites and up to time steps. Spacetime correlation functions were computed on IBM's quantum computers, using qubits with CZ gates applied, reaching a two-qubit gate depth of . We demonstrate how to study bound states and extract scattering amplitudes from these correlation functions.

    ↳ quant-phhep-latnucl-th
  3. 03

    SIMANF: Sample Free Learning of Unnormalized Distributions via Simulated Annealing in Normalizing Flows

    Vikas Kanaujia

    Efficiently learning and sampling from high dimensional, multimodal unnormalized distributions without target samples remains a challenging problem. Although normalizing flows can generate samples efficiently, training based on the reverse KL divergence using only the unnormalized target density may suffer from mode collapse. We introduce SIMANF, a sample free framework that integrates simulated annealing with normalizing flows. SIMANF progressively transforms the target distribution from a smooth initial form to the original target distribution and trains the flow sequentially across these stages. By transferring the learned representation between stages, the method promotes mode coverage while progressively capturing finer features of the target distribution. Following annealing, a final refinement stage combines the reverse KL divergence with an importance weighted forward KL objective using samples generated by the flow. SIMANF requires no target samples during training and uses only the unnormalized density. We demonstrate its effectiveness on Many-Well distributions and high dimensional Scalar Phi4 lattice field theory distribution.

    ↳ cs.LGhep-lat
  4. 04

    FUND: Density Flow for Sampling Unnormalised Distributions

    Vikas Kanaujia · Vipul Arora

    Efficient sampling from Boltzmann distributions is central to modelling complex physical systems. Markov Chain Monte Carlo (MCMC) methods suffer from critical slowing down, high autocorrelation, and poor mode-mixing, limiting their scalability. Recent advances, like Boltzmann Generators, offer a promising alternative but remain constrained by costly MCMC-based training, inefficient sampling, and poor ergodicity. We introduce an algorithm for learning Boltzmann distributions that does not require any true samples for training. Our approach draws inspiration from flow matching but departs fundamentally from sample-trajectory matching to distribution-trajectory matching. The algorithm iteratively reshapes the target distribution, using model generated samples to guide learning and ensure comprehensive mode coverage. We validate our method on standard benchmarks, including a 2D Gaussian mixture, Many-Well distributions, and high-dimensional scalar theory. The proposed approach not only improves sampling performance and accuracy over traditional MCMC and flow-based baselines but also establishes a new method for sample-free learning of complex physical distributions.

    ↳ cs.LGhep-latTransactions on Machine Learning Research…
  5. 05

    Landscape of pentaquark bound states with neural-network Variational Monte Carlo

    Jing-Zhe Song · Wei-Lin Wu · Shi-Lin Zhu

    We present a systematic study of the ground states of pentaquark systems using the neural network variational Monte Carlo method within the constituent quark potential model. We investigate all manifestly exotic pentaquark systems with negative parity, which cannot mix with the conventional baryons through the creation and annihilation of light or strange quark pair. We exhaust 387 color, spin, and isospin configurations and identify 21 pentaquark bound state candidates with binding energies ranging from to MeV. A striking observation is that all of the bound states are shallowly bound molecular states, and a deeply bound pentaquark state does not exist. The , , and bound states are composed of a heavy vector meson and a baryon, while the and bound states are composed of a meson and a heavy baryon. As a cross-validation, the ground-state energies of the unbound systems converge to the baryon--meson thresholds from above, which are consistent with the S-wave scattering states and provide a reliable baseline for the bound-state criterion. Especially, we reproduce the lowest scattering states and in the and channels respectively, where the hidden-charm pentaquark resonances were observed experimentally. We also find that all fully heavy pentaquark states are unbound. Our results provide valuable guidance for future pentaquark searches at LHCb, Belle II, and other experiments.

    ↳ hep-phhep-exhep-latnucl-th