/
test_reportables.py
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/
test_reportables.py
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import unittest
import warnings
import numpy as np
import pygsti
from pygsti.modelpacks.legacy import std1Q_XYI as std
from pygsti.report import reportables as rptbl
from ..testutils import BaseTestCase
class TestReportables(BaseTestCase):
def setUp(self):
super(TestReportables, self).setUp()
def test_helpers(self):
self.assertTrue(rptbl._null_fn("Any arguments") is None)
self.assertAlmostEqual(rptbl._project_to_valid_prob(-0.1), 0.0)
self.assertAlmostEqual(rptbl._project_to_valid_prob(1.1), 1.0)
self.assertAlmostEqual(rptbl._project_to_valid_prob(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.circuits.Circuit(('Gx', 'Gx'))
syntheticIdles = pygsti.circuits.to_circuits( [
('Gx',)*4, ('Gy',)*4 ] )
gatesetfn_factories = ( # model, oplabel
rptbl.Choi_matrix,
rptbl.Choi_evals,
rptbl.Choi_trace,
rptbl.GateEigenvalues, #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.CircuitEigenvalues,
)
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1,opstr)
rptbl.evaluate(gsf)
gatesetfn_factories = ( # model_a, model_b, circuit
rptbl.Rel_circuit_eigenvalues,
rptbl.Circuit_fro_diff ,
rptbl.Circuit_entanglement_infidelity,
rptbl.Circuit_avg_gate_infidelity,
rptbl.Circuit_jt_diff,
rptbl.CircuitHalfDiamondNorm,
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 = ( # model_a, model_b, 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 = ( # model_a, model_b, gatelbl
rptbl.Entanglement_fidelity,
rptbl.Entanglement_infidelity,
rptbl.Closest_unitary_fidelity,
rptbl.Fro_diff,
rptbl.Jt_diff,
rptbl.HalfDiamondNorm,
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 = ( # model_a, model_b, synthetic_idle_strs
rptbl.Robust_LogGTi_and_projections,
)
for gsf_factory in gatesetfn_factories:
gsf = gsf_factory(gs1,gs2, syntheticIdles )
rptbl.evaluate(gsf)
gatesetfn_factories = ( # model_a, model_b
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)
def test_nearby_gatesetfns(self):
gs1 = std.target_model().depolarize(op_noise=0.1, spam_noise=0.05)
gs2 = std.target_model()
opstr = pygsti.circuits.Circuit(('Gx', 'Gx'))
fn = rptbl.HalfDiamondNorm(gs1,gs2,'Gx')
if fn is not None:
fn.evaluate(gs1)
fn.evaluate_nearby(gs1)
else:
warnings.warn("Can't test HalfDiamondNorm! (probably b/c cvxpy isn't available)")
fn = rptbl.CircuitHalfDiamondNorm(gs1,gs2,opstr)
if fn is not None:
fn.evaluate(gs1)
fn.evaluate_nearby(gs1)
else:
warnings.warn("Can't test CircuitHalfDiamondNorm! (probably b/c cvxpy isn't available)")
def test_closest_unitary(self):
gs1 = std.target_model().depolarize(op_noise=0.1, spam_noise=0.05)
gs2 = std.target_model()
rptbl.closest_unitary_fidelity(gs1.operations['Gx'], gs2.operations['Gx'], "pp") # op2 is unitary
rptbl.closest_unitary_fidelity(gs2.operations['Gx'], gs1.operations['Gx'], "pp") # op1 is unitary
def test_general_decomp(self):
gs1 = std.target_model().depolarize(op_noise=0.1, spam_noise=0.05)
gs2 = std.target_model()
gs1.operations['Gx'] = np.array( [[-1, 0, 0, 0],
[ 0,-1, 0, 0],
[ 0, 0, 1, 0],
[ 0, 0, 0, 1]], 'd') # -1 eigenvalues => use approx log.
rptbl.general_decomposition(gs1,gs2)
if __name__ == "__main__":
unittest.main(verbosity=2)