Refactor Qubit Spectroscopy to use ObservablesExperiment #129
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…f outputs to pre-symmetrized program.
kylegulshen
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This was referenced May 30, 2019
joshcombes
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…mes (#127) * Replace operator_estimation with pyquil version * Remove reference to tomography, support for deprecated in_state specification, rename grouping methods. * Apply edits on pyquil version to decompose measure_observables into parts. * Update DFE to reflect changes in operator_estimation (#134) * In op_est tests seed qc where possible, reduce number of repetitions, and increase tolerance * Update tomography to reflect operator estimation change. (#132) * Clean up utils pauli term creation and change name. * Refactor RB and unitarity to use ObservablesExperiment (#133) * Separate out optional explicit rb sequence generation path * Make calculation of rb variance account for covariance. * Updated rb notebooks and changed specification of depths. * Make rb fitting consistent with qbspec * Refactor Qubit Spectroscopy to use ObservablesExperiment (#129) * Move qbspec tests to fitting tests * Adjusted T2 experiments including a bug fix for T2echo. * standardize qbspec fitting/plotting around probability of 'measuring 1'. * Refactor RPE to use ObservablesExperiment (#135) * Refactor rpe generation to be more general. * bump version
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This builds off of the operator_estimation refactor. Refactoring this module constitutes a step toward the larger goal that the entire repository use this framework.
The plotting is also standardized in this PR towards the approach taken in randomized benchmarking. Later changes to randomized benchmarking in a future PR will continue this standardization. This will complete 2/4 items in #93