Korean
언어
English
Japanese
German
Korean
Shortcuts

Verification (qiskit.ignis.verification)

Quantum Volume

qv_circuits(qubit_lists[, ntrials, qr, cr, seed])

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.

CNOTDihedral(data[, validate])

CNOT-dihedral Object Class.

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.

gateset_tomography_circuits([…])

Return a list of quantum gate set tomography (GST) circuits.

basis

Quantum tomography basis

StateTomographyFitter(result, circuits[, …])

Maximum-Likelihood estimation state tomography fitter.

ProcessTomographyFitter(result, circuits[, …])

Maximum-Likelihood estimation process tomography fitter.

GatesetTomographyFitter(result, circuits[, …])

Initialize gateset tomography fitter with experimental data.

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.

Entanglement

BConfig(backend[, indicator])

This class is used to create a GHZ circuit with parallellized CNOT gates to increase fidelity

get_ghz_simple(n[, measure, full_measurement])

Creates a linear GHZ state with the option of measurement

get_ghz_mqc(n, delta[, full_measurement])

This function creates an MQC circuit with n qubits, where the middle phase rotation around the z axis is by delta

get_ghz_mqc_para(n[, full_measurement])

This function creates an MQC circuit with n qubits, where the middle phase rotation around the z axis is parameterized

get_ghz_po(n, delta)

This function creates an Parity Oscillation circuit with n qubits, where the middle superposition rotation around the x and y axes is by delta

get_ghz_po_para(n)

This function creates a Parity Oscillation circuit with n qubits, where the middle superposition rotation around

ordered_list_generator(counts_dictionary, qn)

For parity oscillations; just arranges dictionary of counts in bitwise binary order to compute dot products more easily

composite_pauli_z(qn)

Generates n tensored pauli z matrix upon input of qubit number

composite_pauli_z_expvalue(counts_dictionary, qn)

Generates expectation value of n tensored pauli matrix upon input of qubit number and composite pauli matrix

Plotter(label)

Various plots of the ground state in MQC and PO experiments

rho_to_fidelity(rho)

Get fidelity given rho :type rho: float :param rho: The density matrix

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