Solvers¶
Python solver entry points.
- openquantumsim.solvers.mesolve(H, rho0, tlist, *, c_ops=None, e_ops=None, state_observables=None, options=None)¶
Solve a Lindblad master equation.
Supports time-independent Hamiltonians and
TimeDependentHamiltonianobjects with scalar coefficients.
- openquantumsim.solvers.mcsolve(H, psi0, tlist, *, c_ops=None, e_ops=None, n_traj=None, state_observables=None, options=None)¶
Run Monte Carlo wave-function trajectories.
Built-in
state_observablescreated byopenquantumsim.state_metrics()are aggregated by the backend when they can be represented as linear expectation values or pure-trajectory constants. Arbitrary Python callbacks remain available throughsingle_trajectory()or deterministicmesolve()runs with saved state access.- Parameters:
H (Operator)
psi0 (ndarray[tuple[Any, ...], dtype[complex128]])
tlist (Sequence[float])
c_ops (Sequence[Operator] | None)
e_ops (Sequence[Operator] | None)
n_traj (int | None)
state_observables (Mapping[str, Callable[[ndarray[tuple[Any, ...], dtype[complex128]]], Any]] | None)
options (Options | None)
- Return type:
- openquantumsim.solvers.single_trajectory(H, psi0, tlist, *, c_ops=None, e_ops=None, state_observables=None, options=None)¶
Run one Monte Carlo wave-function trajectory.
Set
Options(save_states=True)to return the ket at each requested time.- Parameters:
- Return type: