krotov package¶
The main function exposed here is optimize_pulses().
This acts on a list of Objective instances, which may either be
constructed manually, or through the helper functions gate_objectives()
and ensemble_objectives().
The submodules contain various auxiliary functions for constructing arguments
for optimize_pulses(), for common use cases. This includes
functions for constructing control fields (guess pulses), optimization
functionals, convergence checks, analysis tools, and propagators, as well as
more technical routines for parallelization, low-level data conversion, and
estimators for second-order updates.
Submodules:
Summary¶
__all__ Classes:
A single objective for optimization with Krotov’s method. |
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Result of a Krotov optimization with |
__all__ Functions:
Extend objectives for an “ensemble optimization” |
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Construct a list of objectives for optimizing towards a quantum gate |
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Use Krotov’s method to optimize towards the given objectives. |