def test_helpers(self):
self.assertTrue(rptbl._nullFn("Any arguments") is None)
self.assertAlmostEqual(rptbl._projectToValidProb(-0.1), 0.0)
self.assertAlmostEqual(rptbl._projectToValidProb(1.1), 1.0)
self.assertAlmostEqual(rptbl._projectToValidProb(0.5), 0.5)
nan_qty = rptbl.evaluate(None) # none function -> nan qty
self.assertTrue(np.isnan(nan_qty.value))
#deprecated:
rptbl.decomposition(std.target_model().operations['Gx'])
rptbl.decomposition(np.zeros((4, 4), 'd'))
def test_functions(self):
gs1 = std.target_model().depolarize(op_noise=0.1, spam_noise=0.05)
gs2 = std.target_model()
gl = "Gx" # operation label
opstr = pygsti.obj.Circuit(('Gx', 'Gx'))
syntheticIdles = pygsti.construction.circuit_list([('Gx', ) * 4,
('Gy', ) * 4])
gatesetfn_factories = ( # model, oplabel
rptbl.Choi_matrix,
rptbl.Choi_evals,
rptbl.Choi_trace,
rptbl.Gate_eigenvalues, #GAP
rptbl.Upper_bound_fidelity,
rptbl.Closest_ujmx,
rptbl.Maximum_fidelity,
rptbl.Maximum_trace_dist,
)
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1, gl)
rptbl.evaluate(gsf)
gatesetfn_factories = ( # model, circuit
rptbl.Circuit_eigenvalues, )
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1, opstr)
rptbl.evaluate(gsf)
gatesetfn_factories = ( # modelA, modelB, circuit
rptbl.Rel_circuit_eigenvalues,
rptbl.Circuit_fro_diff,
rptbl.Circuit_entanglement_infidelity,
rptbl.Circuit_avg_gate_infidelity,
rptbl.Circuit_jt_diff,
rptbl.Circuit_half_diamond_norm,
rptbl.Circuit_nonunitary_entanglement_infidelity,
rptbl.Circuit_nonunitary_avg_gate_infidelity,
rptbl.Circuit_eigenvalue_entanglement_infidelity,
rptbl.Circuit_eigenvalue_avg_gate_infidelity,
rptbl.Circuit_eigenvalue_nonunitary_entanglement_infidelity,
rptbl.Circuit_eigenvalue_nonunitary_avg_gate_infidelity,
rptbl.Circuit_eigenvalue_diamondnorm,
rptbl.Circuit_eigenvalue_nonunitary_diamondnorm,
)
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1, gs2, opstr)
rptbl.evaluate(gsf)
gatesetfn_factories = ( # modelA, modelB, povmlbl
rptbl.POVM_entanglement_infidelity,
rptbl.POVM_jt_diff,
rptbl.POVM_half_diamond_norm,
)
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1, gs2, "Mdefault")
rptbl.evaluate(gsf)
gatesetfn_factories = ( # model
rptbl.Spam_dotprods,
rptbl.Angles_btwn_rotn_axes,
)
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1)
rptbl.evaluate(gsf)
gatesetfn_factories = ( # modelA, modelB, gatelbl
rptbl.Entanglement_fidelity,
rptbl.Entanglement_infidelity,
rptbl.Closest_unitary_fidelity,
rptbl.Fro_diff,
rptbl.Jt_diff,
rptbl.Half_diamond_norm,
rptbl.Nonunitary_entanglement_infidelity,
rptbl.Nonunitary_avg_gate_infidelity,
rptbl.Eigenvalue_nonunitary_entanglement_infidelity,
rptbl.Eigenvalue_nonunitary_avg_gate_infidelity,
rptbl.Eigenvalue_entanglement_infidelity,
rptbl.Eigenvalue_avg_gate_infidelity,
rptbl.Eigenvalue_diamondnorm,
rptbl.Eigenvalue_nonunitary_diamondnorm,
rptbl.Avg_gate_infidelity,
rptbl.Model_model_angles_btwn_axes,
rptbl.Rel_eigvals,
rptbl.Rel_logTiG_eigvals,
rptbl.Rel_logGTi_eigvals,
rptbl.Rel_logGmlogT_eigvals,
rptbl.Rel_gate_eigenvalues,
rptbl.LogTiG_and_projections,
rptbl.LogGTi_and_projections,
rptbl.LogGmlogT_and_projections,
)
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1, gs2, gl)
rptbl.evaluate(gsf)
gatesetfn_factories = ( # modelA, modelB, syntheticIdleStrs
rptbl.Robust_LogGTi_and_projections, )
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1, gs2, syntheticIdles)
rptbl.evaluate(gsf)
gatesetfn_factories = ( # modelA, modelB
rptbl.General_decomposition,
rptbl.Average_gateset_infidelity,
rptbl.Predicted_rb_number,
)
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1, gs2)
rptbl.evaluate(gsf)
gatesetfn_factories = ( # model1, model2, label, typ
rptbl.Vec_fidelity,
rptbl.Vec_infidelity,
rptbl.Vec_tr_diff,
)
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1, gs2, "rho0", "prep")
rptbl.evaluate(gsf)
gsf = gsf_factory(gs1, gs2, "Mdefault:0", "effect")
rptbl.evaluate(gsf)
gatesetfn_factories = ( # model, label, typ
rptbl.Vec_as_stdmx,
rptbl.Vec_as_stdmx_eigenvalues,
)
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1, "rho0", "prep")
rptbl.evaluate(gsf)
gsf = gsf_factory(gs1, "Mdefault:0", "effect")
rptbl.evaluate(gsf)
