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Quantax 0.2.1 documentation

  • Quick Start
  • Exact diagonalization
  • Build your network
  • Samples and Measurement
  • Square J1-J2 model
    • Triangular Heisenberg model
    • Fermion mean field
    • Neural Jastrow
    • Real-time dynamics
    • Local updates
    • Restricted Boltzmann machine
    • Time-dependent variational principle
    • Minimum-norm stochastic reconfiguration
    • Neural network backflow
    • global_defs
    • sites
    • symmetry
    • operator
    • nn
    • model
    • state
    • sampler
    • optimizer
    • utils
    • Related packages
    • Research papers
  • Quick Start
  • Exact diagonalization
  • Build your network
  • Samples and Measurement
  • Square J1-J2 model
  • Triangular Heisenberg model
  • Fermion mean field
  • Neural Jastrow
  • Real-time dynamics
  • Local updates
  • Restricted Boltzmann machine
  • Time-dependent variational principle
  • Minimum-norm stochastic reconfiguration
  • Neural network backflow
  • global_defs
  • sites
  • symmetry
  • operator
  • nn
  • model
  • state
  • sampler
  • optimizer
  • utils
  • Related packages
  • Research papers

Section Navigation

  • Minimum-norm stochastic reconfiguration

Minimum-norm stochastic reconfiguration#

Paper title: Empowering deep neural quantum states through efficient optimization

Paper authors: Ao Chen and Markus Heyl

arXiv:2302.01941 (2023)

Nat. Phys. 20, 1476-1481 (2024)

Related tutorials: Square J1-J2 model

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