pygsti.report.direct_mlgst_gatesets

pygsti.report.direct_mlgst_gatesets(gateStrings, dataset, specs, targetGateset, svdTruncateTo=0, minProbClip=1e-06, probClipInterval=(-1000000.0, 1000000.0), verbosity=0)

Constructs a dictionary with keys == gate strings and values == Direct-MLEGST GateSets.

Parameters:
  • gateStrings (list of GateString or tuple objects) – The gate strings to estimate using MLEGST. The elements of this list are the keys of the returned dictionary.
  • dataset (DataSet) – The data to use for all LGST and LSGST estimates.
  • specs (2-tuple) – A (prepSpecs,effectSpecs) tuple usually generated by calling build_spam_specs(...)
  • targetGateset (GateSet) – The target gate set used by LGST to extract gate labels and an initial gauge
  • svdTruncateTo (int, optional) – The Hilbert space dimension to truncate the gate matrices to using a SVD to keep only the largest svdToTruncateTo singular values of the I_tildle LGST matrix. Defaults to no truncation.
  • minProbClip (float, optional) – defines the minimum probability “patch point” used within the logl function.
  • probClipInterval (2-tuple, optional) – (min,max) to clip probabilities to within GateSet probability computation routines (see GateSet.bulk_fill_probs)
  • verbosity (int, optional) – Verbosity value to send to do_lgst(...) and do_mlgst(...) calls.
Returns:

A dictionary that relates each gate string of gateStrings to a GateSet containing the MLEGST estimate of that gate string stored under the gate label “GsigmaLbl”, along with MLEGST estimates of the gates in targetGateset.

Return type:

dict