mqt.yaqs.characterization.noise.optimization.loss¶

Trajectory-mismatch objective for analytical noise-parameter optimization.

Module Contents¶

class TrajectoryLoss(*, ref_expectations: ndarray, propagator: Propagator)[source]¶

Mean-squared trajectory mismatch used by gradient-free optimizers.

ref_traj_array¶

propagator¶

d¶

loss_scale_factor¶

x_to_noise_model(x: ndarray) → NoiseModel[source]¶

Map a flat strength vector back to a NoiseModel.

Parameters:: x – Process strength vector with length self.d.
Returns:: Updated noise model.

__call__(x: ndarray) → float[source]¶

Evaluate the scaled mean-squared trajectory error.

Parameters:: x – Compact strength vector.
Returns:: Scaled mean-squared trajectory mismatch.
Raises:: ValueError – If x has the wrong length.