def test_acquire_dfe_data(benchmarker: BenchmarkConnection, qvm):
# pick (Clifford) process that acts as identity on qubits 0 and 1
process = Program(X(2), X(3))
texpt = generate_exhaustive_state_dfe_experiment(benchmarker=benchmarker,
program=process,
qubits=[0, 1])
dfe_data = acquire_dfe_data(qc=qvm, expt=texpt)
fid_est, fid_std_err = estimate_dfe(dfe_data, 'state')
assert_allclose(fid_est, 1.0)
assert_allclose(fid_std_err, 0.0)
def test_acquire_dfe_data(benchmarker: BenchmarkConnection, test_qc):
# pick (Clifford) process that acts as identity on qubits 0 and 1
process = Program(X(2), X(3))
texpt = generate_exhaustive_state_dfe_experiment(program=process,
qubits=[0, 1],
benchmarker=benchmarker)
dfe_data = acquire_dfe_data(qc=test_qc, expr=texpt)
dfe_estimate = estimate_dfe(dfe_data, 'state')
assert dfe_estimate.dimension == 4
assert dfe_estimate.qubits == [0, 1]
assert_allclose(dfe_estimate.fid_point_est, 1.0)
assert_allclose(dfe_estimate.fid_std_err, 0.0)
def test_exhaustive_state_dfe_run(benchmarker: BenchmarkConnection):
wfnsim = NumpyWavefunctionSimulator(n_qubits=1)
process = Program(X(0))
texpt = generate_exhaustive_state_dfe_experiment(program=process,
qubits=[0],
benchmarker=benchmarker)
for setting in texpt:
setting = setting[0]
prog = Program()
for oneq_state in setting.in_state.states:
prog += _one_q_state_prep(oneq_state)
prog += process
expectation = wfnsim.reset().do_program(prog).expectation(
setting.out_operator)
assert expectation == 1.
def test_exhaustive_state_dfe(benchmarker: BenchmarkConnection):
texpt = generate_exhaustive_state_dfe_experiment(program=Program(
X(0), X(1)),
qubits=[0, 1],
benchmarker=benchmarker)
assert len(texpt) == 2**2 - 1