quchip.engine.steady_state¶

Build and solve backend-neutral stationary Lindblad problems.

Functions

`build_steadystate_problem`(chip, *[, e_ops, ...])	Resolve a chip into one static Lindblad steady-state request.
`solve_steadystate_problem`(problem)	Solve an already assembled stationary problem and enforce uniqueness.
`steadystate`(chip, *[, e_ops, options, ...])	Solve a chip's unique static Lindblad steady state.
`steadystate_batch`(chip, *axes[, e_ops, ...])	Solve stationary states over Cartesian or zipped parameter axes.

quchip.engine.steady_state.build_steadystate_problem(chip, *, e_ops=None, options=None, frame=None, approximation=None)[source]¶

Resolve a chip into one static Lindblad steady-state request.

Parameters:

chip (Any)
e_ops (dict | None)
options (dict | None)
frame (Any | None)
approximation (Any | None)

Return type:

SteadyStateProblem

quchip.engine.steady_state.steadystate(chip, *, e_ops=None, options=None, frame=None, approximation=None)[source]¶

Solve a chip’s unique static Lindblad steady state.

Parameters:

chip (Any)
e_ops (dict | None)
options (dict | None)
frame (Any | None)
approximation (Any | None)

Return type:

SteadyStateResult

quchip.engine.steady_state.solve_steadystate_problem(problem)[source]¶

Solve an already assembled stationary problem and enforce uniqueness.

Parameters:: problem (SteadyStateProblem)
Return type:: SteadyStateResult

quchip.engine.steady_state.steadystate_batch(chip, *axes, e_ops=None, options=None, frame=None, approximation=None, progress=True)[source]¶

Solve stationary states over Cartesian or zipped parameter axes.

Parameters:

chip (Any)
axes (Any)
e_ops (dict | None)
options (dict | None)
frame (Any | None)
approximation (Any | None)
progress (bool)

Return type:

SteadyStateBatchResult