seemps.evolution.arnoldi#
- seemps.evolution.arnoldi(L: MPO, time: float | tuple[float | int | floating | integer, float | int | floating | integer] | Sequence[float | int | floating | integer] | NDArray, state: MPS, steps: int = 1000, order: int = 6, strategy: Strategy = DEFAULT_STRATEGY, callback: Callable[[float, MPS], Any] | None = None) TypeAliasForwardRef('~seemps.state.MPS') | list[Any][source]#
Solve
d|state>/dt = L|state>using a variable order Arnoldi approximation to the exponential.See
seemps.evolution.euler()for a description of the missing function arguments and the function’s output.- Parameters:
- order
int,default= 5 Maximum order of the Arnoldi representation.
- order