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Quantax 0.3.1 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
    • 🔪 The Sharp Bits 🔪
    • 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
  • 🔪 The Sharp Bits 🔪
  • 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

  • quantax.operator.Operator
  • quantax.operator.OpTerm
  • quantax.operator.OpTermJAX
  • quantax.operator.sigma_x
  • quantax.operator.sigma_y
  • quantax.operator.sigma_z
  • quantax.operator.sigma_p
  • quantax.operator.sigma_m
  • quantax.operator.S_x
  • quantax.operator.S_y
  • quantax.operator.S_z
  • quantax.operator.S_p
  • quantax.operator.S_m
  • quantax.operator.create
  • quantax.operator.create_u
  • quantax.operator.create_d
  • quantax.operator.annihilate
  • quantax.operator.annihilate_u
  • quantax.operator.annihilate_d
  • quantax.operator.number
  • quantax.operator.number_u
  • quantax.operator.number_d
  • quantax.operator.Heisenberg
  • quantax.operator.Ising
  • quantax.operator.Hubbard
  • quantax.operator.tJ
  • quantax.operator.tV
  • quantax.operator.none_filter
  • quantax.operator.nflips_filter
  • quantax.operator.nflips_up_dn_filter
  • operator
  • quantax.operator.tV

quantax.operator.tV#

quantax.operator.tV(V: float | Sequence[float], V_neighbor: int | Sequence[int] = 1, t: float | Sequence[float] = 1.0, t_neighbor: int | Sequence[int] = 1) → Operator#

t-V Hamiltonian \(H = -\sum_n t_n \sum_{\left< ij \right>_n} (c_{i}^† c_{j} + c_{j}^† c_{i}) + \sum_m V_m \sum_{\left< ij \right>_m} n_{i} n_{j}\)

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