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 |
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