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DeepQuark: A Deep-Neural-Network Approach to Multiquark Bound States.

Wei-Lin Wu1, Lu Meng2,3, Shi-Lin Zhu4

  • 1Peking University, School of Physics, Beijing 100871, China.

Physical Review Letters
|March 6, 2026
PubMed
Summary

We introduce DeepQuark, a novel deep neural network approach for studying complex multiquark systems. This method accurately predicts nucleon, tetraquark, and pentaquark states, advancing our understanding of quantum chromodynamics.

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Area of Science:

  • Quantum Chromodynamics (QCD)
  • Nuclear Physics
  • Computational Physics

Background:

  • Multiquark systems present significant computational challenges due to strong SU(3) color interactions and complex correlations.
  • Existing methods struggle with the intricacies of confinement and extra quantum numbers in these systems.

Purpose of the Study:

  • To develop and implement a novel deep neural network-based variational Monte Carlo approach for multiquark bound states.
  • To address the computational barriers and unique challenges posed by multiquark systems.
  • To provide a powerful framework for exploring confining mechanisms beyond two-body interactions.

Main Methods:

  • Implementation of a deep-neural-network-based variational Monte Carlo (VMC) approach.
  • Design of a novel, high-efficiency architecture named DeepQuark.
  • Incorporation of three-body flux-tube confinement interactions without additional computational cost.

Main Results:

  • DeepQuark demonstrates competitive performance against state-of-the-art methods for nucleon and tetraquark systems.
  • The approach achieves superior accuracy for pentaquark systems, including triply heavy pentaquarks.
  • Prediction of weakly bound D*Ξcc* molecule Pccc¯(5715) and its bottom analog Pbbb¯(15569).

Conclusions:

  • DeepQuark offers a promising solution for studying larger multiquark systems, overcoming computational limitations.
  • The framework provides insights into nonperturbative QCD and many-body physics by exploring confinement mechanisms.
  • Experimental searches for predicted pentaquark states, such as Pccc¯(5715), are recommended.