English

Partonic distribution functions and amplitudes using tensor network methods

High Energy Physics - Phenomenology 2025-10-03 v3 High Energy Physics - Lattice Nuclear Theory Quantum Physics

Abstract

Calculations of the parton distribution function (PDF) and distribution amplitude (DA) are highly relevant to core experimental programs as they provide non-perturbative inputs to inclusive and exclusive processes, respectively. Direct computation of the PDFs and DAs remains challenging because they are non-perturbative quantities defined as light-cone correlators of quark and gluon fields, and are therefore inherently time-dependent. In this work, we use a uniform quantum strategy based on tensor network simulation techniques to directly extract these hadronic quantities from first principles using the matrix product state of the hadrons in the same setup. We present exemplary numerical calculations with the Nambu-Jona-Lasinio model in 1+1 dimensions and compare with available exact diagonalization and quantum circuit simulation results. Using tensor networks, we evaluate the PDF and DA at various strong couplings in the large-qubit limit, which is consistent with expectations at perturbative and non-relativistic limits.

Keywords

Cite

@article{arxiv.2501.09738,
  title  = {Partonic distribution functions and amplitudes using tensor network methods},
  author = {Zhong-Bo Kang and Noah Moran and Peter Nguyen and Wenyang Qian},
  journal= {arXiv preprint arXiv:2501.09738},
  year   = {2025}
}

Comments

21 pages, 4 figures, 2 tables

R2 v1 2026-06-28T21:08:37.949Z