Hamiltonians

class qflow.hamiltonians.Hamiltonian

external_potential(self: qflow.hamiltonians.Hamiltonian, arg0: numpy.ndarray[float64[m, n]]) → float

internal_potential(self: qflow.hamiltonians.Hamiltonian, arg0: numpy.ndarray[float64[m, n]]) → float

kinetic_energy(self: qflow.hamiltonians.Hamiltonian, arg0: numpy.ndarray[float64[m, n]], arg1: _qflow_backend.wavefunctions.Wavefunction) → float

kinetic_energy_numeric(self: qflow.hamiltonians.Hamiltonian, arg0: numpy.ndarray[float64[m, n]], arg1: _qflow_backend.wavefunctions.Wavefunction) → float

local_energy(*args, **kwargs)

Overloaded function.

1. local_energy(self: qflow.hamiltonians.Hamiltonian, arg0: numpy.ndarray[float64[m, n]], arg1: _qflow_backend.wavefunctions.Wavefunction) -> float

2. local_energy(self: qflow.hamiltonians.Hamiltonian, arg0: _qflow_backend.samplers.Sampler, arg1: _qflow_backend.wavefunctions.Wavefunction, arg2: int) -> float

local_energy_array(self: qflow.hamiltonians.Hamiltonian, arg0: _qflow_backend.samplers.Sampler, arg1: _qflow_backend.wavefunctions.Wavefunction, arg2: int) → numpy.ndarray[float64[1, n]]

local_energy_gradient(self: qflow.hamiltonians.Hamiltonian, arg0: _qflow_backend.samplers.Sampler, arg1: _qflow_backend.wavefunctions.Wavefunction, arg2: int) → numpy.ndarray[float64[1, n]]

local_energy_numeric(*args, **kwargs)

Overloaded function.

1. local_energy_numeric(self: qflow.hamiltonians.Hamiltonian, arg0: numpy.ndarray[float64[m, n]], arg1: _qflow_backend.wavefunctions.Wavefunction) -> float

2. local_energy_numeric(self: qflow.hamiltonians.Hamiltonian, arg0: numpy.ndarray[float64[m, n]], arg1: _qflow_backend.wavefunctions.Wavefunction) -> float

mean_distance_array(self: qflow.hamiltonians.Hamiltonian, arg0: _qflow_backend.samplers.Sampler, arg1: int) → numpy.ndarray[float64[1, n]]

mean_radius_array(self: qflow.hamiltonians.Hamiltonian, arg0: _qflow_backend.samplers.Sampler, arg1: int) → numpy.ndarray[float64[1, n]]

mean_squared_radius_array(self: qflow.hamiltonians.Hamiltonian, arg0: _qflow_backend.samplers.Sampler, arg1: int) → numpy.ndarray[float64[1, n]]

onebodydensity(self: qflow.hamiltonians.Hamiltonian, arg0: _qflow_backend.samplers.Sampler, arg1: int, arg2: float, arg3: int) → numpy.ndarray[float64[1, n]]

optimize_wavefunction(self: qflow.hamiltonians.Hamiltonian, arg0: _qflow_backend.wavefunctions.Wavefunction, arg1: _qflow_backend.samplers.Sampler, arg2: int, arg3: int, arg4: SgdOptimizer, arg5: float, arg6: bool) → None

twobodydensity(self: qflow.hamiltonians.Hamiltonian, arg0: _qflow_backend.samplers.Sampler, arg1: int, arg2: float, arg3: int) → numpy.ndarray[float64[m, n]]

class qflow.hamiltonians.HarmonicOscillator

__init__(self: qflow.hamiltonians.HarmonicOscillator, omega_ho: float = 1, omega_z: float = 1, h: float = 0.001) → None

gross_pitaevskii_energy(self: qflow.hamiltonians.HarmonicOscillator, arg0: numpy.ndarray[float64[m, n]], arg1: _qflow_backend.wavefunctions.Wavefunction) → float