iqm.benchmarks.compressive_gst.mgst.reporting.reporting#
Generation of error measures and result tables.
Functions
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Mean varation error between measured outcomes and predicted outcomes from a gate set. |
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Resamples circuit outcomes a number of times and computes GST estimates for each repetition. |
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Takes the matrix logarithm of the given unitaries and returns the Hamiltonian parameters. |
Computes the Hamiltonian parameters and matches the ideal Hamiltonian parameters to the measured ones. |
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Takes the matrix logarithms of the given unitaries and returns sparsest Hamiltonian parameters in Pauli basis. |
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Returns the distance between a given channel and a local dephasing channel with given probabilities. |
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Determines the local dephasing channel parameters which best describe the noise model. |
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Outputs a .tex document containing a table with the larges eigenvalues of the Choi matrix for each gate. |
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Generate a list of labels for the Pauli basis or the standard basis. |
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Produces result tables and data for Kraus rank 1 estimates. |
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Turns the dictionary of outcomes obtained from qiskit backend into the format which is used in mGST. |
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Matches the sign of the phase of a target Hamiltonian represented by Pauli coeffs to a measured Hamiltonian. |
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Computes the average absolute distance between the eigenvlues of two matrices. |
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Formats a floating point number to a string with the given precision. |
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Computes norm between two input unitaries after a global phase is added to one of them. |
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Return rK = 1 gate set with global phase fitting matching to target gate set. |
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Generation of pandas dataframes with gate and SPAM quality measures. |
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Generation of pandas dataframes with gate and SPAM quality measures. |
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Converts formated string results from mgst to float (value, uncertainty) pairs. |
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Saves variables in data file to be read in latex document. |
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Computes the unitarities of all gates in the gate set. |