paraqeet.measurement.goat_over_grape.GOATOverGRAPE#

class paraqeet.measurement.goat_over_grape.GOATOverGRAPE(measurement, propagation, generators)[source]#

Combine GRAPE propagation with analytic gradients of GOAT via chain rule.

Parameters:

measurement (StateTransferFidelityGRAPE) – A StateTransferFidelityGRAPE measurement.
propagation (DifferentiablePropagation) – Propagation method used for the optimization. Used to determine the time grid.
generators (PWCGenerator | list[PWCGenerator]) – A PWCGenerator or a list of PWCGenerators that are used for propagation.

__init__(measurement, propagation, generators)[source]#

Parameters:

Methods

`__init__`(measurement, propagation, generators)
`calculate_normalized_scalar`(times)	Passthrough the measurement.
`get_value_and_gradient`(times)	Compute gradients with GRAPE and use the chain rule to provide the gradients for the optimizer.
`measure`(times)	Sum of plain weighted measurements.

calculate_normalized_scalar(times)[source]#

Passthrough the measurement.

get_value_and_gradient(times)[source]#

Compute gradients with GRAPE and use the chain rule to provide the gradients for the optimizer.

Returns:

Parameters:

times (Array)

Return type:

tuple[Array, Array] | tuple[float, Array]

measure(times)[source]#

Sum of plain weighted measurements.