Verification (qiskit.ignis.verification)

Quantum Volume

qv_circuits([qubit_lists, ntrials, qr, cr])	Return a list of square quantum volume circuits (depth=width)
QVFitter([backend_result, …])	Class for fitters for quantum volume.

Randomized Benchmarking

Randomization benchmarking (RB) is a well-known technique to measure average gate performance by running sequences of random Clifford gates that should return the qubits to the initial state. Qiskit Ignis has tools to generate one- and two-qubit gate Clifford RB sequences simultaneously, as well as performing interleaved RB, purity RB and RB on the non-Clifford CNOT-Dihedral group.

randomized_benchmarking_seq([nseeds, …])	Generate generic randomized benchmarking (RB) sequences.
RBFitter(backend_result, cliff_lengths[, …])	Class for fitters for randomized benchmarking.
InterleavedRBFitter(original_result, …[, …])	Class for fitters for interleaved RB, derived from RBFitterBase class.
PurityRBFitter(purity_result, npurity, …)	Class for fitter for purity RB.
CNOTDihedralRBFitter(cnotdihedral_Z_result, …)	Class for fitters for non-Clifford CNOT-Dihedral RB.
BasicUtils()	Abstract base class (ABS) for utils for various groups and sets of gates for randomized benchmarking.
Clifford([num_qubits, table, phases])	Clifford Operator Class.
CliffordUtils([num_qubits, group_tables, …])	Class for util functions for the Clifford group.
CNOTDihedral(n_qubits)	CNOT-dihedral Object Class.
DihedralUtils([num_qubits, group_tables, …])	Class for util functions for the CNOT-dihedral group.
count_gates(qobj, basis, qubits)	Take a compiled qobj and output the number of gates in each circuit.
gates_per_clifford(transpiled_circuits_list, …)	Take a list of transpiled QuantumCircuit and use these to calculate the number of gates per Clifford.
calculate_1q_epg(gate_per_cliff, epc_1q, qubit)	Convert error per Clifford (EPC) into error per gates (EPGs) of single qubit basis gates.
calculate_2q_epg(gate_per_cliff, epc_2q, …)	Convert error per Clifford (EPC) into error per gate (EPG) of two qubit cx gates.
calculate_1q_epc(gate_per_cliff, epg_1q, qubit)	Convert error per gate (EPG) into error per Clifford (EPC) of single qubit basis gates.
calculate_2q_epc(gate_per_cliff, epg_2q, …)	Convert error per gate (EPG) into error per Clifford (EPC) of two qubit cx gates.
coherence_limit([nQ, T1_list, T2_list, gatelen])	The error per gate (1-average_gate_fidelity) given by the T1,T2 limit.
twoQ_clifford_error(ngates, gate_qubit, gate_err)	The two qubit Clifford gate error given measured errors in the primitive gates used to construct the Clifford (see arxiv:1712.06550).

Tomography

state_tomography_circuits(circuit, …[, …])	Return a list of quantum state tomography circuits.
process_tomography_circuits(circuit, …[, …])	Return a list of quantum process tomography circuits.
basis	Quantum tomography basis
StateTomographyFitter(result, circuits[, …])	Maximum-Likelihood estimation state tomography fitter.
ProcessTomographyFitter(result, circuits[, …])	Maximum-Likelihood estimation process tomography fitter.
TomographyFitter(result, circuits[, …])	Base maximum-likelihood estimate tomography fitter class
marginal_counts(counts[, meas_qubits, pad_zeros])	Compute marginal counts from a counts dictionary.
combine_counts(counts1, counts2)	Combine two counts dictionaries.
expectation_counts(counts)	Converts count dict to an expectation counts dict.
count_keys(num_qubits)	Return ordered count keys.

Topological Codes

RepetitionCode(d[, T])	Implementation of a distance d repetition code, implemented over T syndrome measurement rounds.
GraphDecoder(code[, S])	Class to construct the graph corresponding to the possible syndromes of a quantum error correction code, and then run suitable decoders.
lookuptable_decoding(training_results, …)	Calculates the logical error probability using postselection decoding.
postselection_decoding(results)	Calculates the logical error probability using postselection decoding.

Accreditation

AccreditationCircuits(target_circ[, …])	This class generates accreditation circuits from a target.
AccreditationFitter()	Class for fitters for accreditation
QOTP(circ, num[, two_qubit_gate, …])	Performs a QOTP (or random compilation) on a generic circuit.
QOTPCorrectCounts(qotp_counts, qotp_postp)	Corrects a dictionary of results, shifting the qotp