seemps.evolution.tdvp

seemps.evolution.tdvp(L: MPO, time: float | tuple[float | int | floating | integer, float | int | floating | integer] | Sequence[float | int | floating | integer] | NDArray, state: MPS, steps: int = 1000, strategy: Strategy = DEFAULT_STRATEGY, callback: Callable[[float, MPS], Any] | None = None)

Solve d|state>/dt = L|state> using the Time Dependent Variational Principle (TDVP) algorithm.

Parameters:

LMPO

Linear operator in MPO form.

timeReal | tuple[Real, Real] | Sequence[Real]

Integration interval, or sequence of time steps.

stateMPS

Initial guess of the ground state.

stepsint, default = 1000

Integration steps, if not defined by t_span.

strategyStrategy, default = DEFAULT_STRATEGY

Truncation strategy for MPO and MPS algebra.

callbackCallable[[float, MPS], Any] | None

A callable called after each iteration (defaults to None).

Returns

——-

resultMPS | list[Any]

Final state after evolution or values collected by callback