iqm.benchmarks.utils#

General utility functions

Functions

`bootstrap_counts`(original_counts[, ...])	Returns num_bootstrap_samples resampled copies of the original_counts.
`count_2q_layers`(circuit_list)	Calculate the number of layers of parallel 2-qubit gates in a list of circuits.
`count_native_gates`(backend_arg, ...)	Count the number of IQM native gates of each quantum circuit in a list.
`extract_fidelities`(cal_url)	Returns couplings and CZ-fidelities from calibration data URL
`generate_state_tomography_circuits`(qc, ...)	Generate all quantum circuits required for a quantum state tomography experiment.
`get_Pauli_expectation`(counts, pauli_label)	Gets an estimate of a Pauli expectation value for a given set of counts and a Pauli measurement label.
`get_active_qubits`(qc)	Extract active qubits from a quantum circuit.
`get_iqm_backend`(backend_label)	Get the IQM backend object from a backend name (str).
`get_measurement_mapping`(circuit)	Extracts the final measurement mapping (qubits to bits) of a quantum circuit.
`get_neighbors_of_edges`(edges, graph)	Given a Sequence of edges and a graph, return all neighboring nodes of the edges.
`get_tomography_matrix`(pauli_expectations)	Reconstructs a density matrix from given Pauli expectations.
`marginal_distribution`(prob_dist_or_counts, ...)	Compute the marginal distribution over specified bits (indices).
`median_with_uncertainty`(observations)	Computes the median of a Sequence of float observations and returns value and propagated uncertainty.
`perform_backend_transpilation`(qc_list, ...)	Transpile a list of circuits to backend specifications.
`reduce_to_active_qubits`(circuit[, ...])	Reduces a quantum circuit to only its active qubits.
`remove_directed_duplicates_to_list`(cp_map)	Remove duplicate edges from a coupling map and returns as a list of edges (as a list of pairs of vertices).
`retrieve_all_counts`(iqm_jobs[, identifier])	Retrieve the counts from a list of IQMJob objects.
`retrieve_all_job_metadata`(iqm_jobs)	Retrieve the counts from a list of IQMJob objects.
`set_coupling_map`(qubits, backend[, ...])	Set a coupling map according to the specified physical layout.
`sort_batches_by_final_layout`(...)	Sort batches of circuits according to the final measurement mapping in their corresponding backend.
`split_sequence_in_chunks`(sequence_in, split_size)	Split a given Sequence into chunks of a given split size, return as a List of Sequences.
`submit_execute`(sorted_transpiled_qc_list, ...)	Submit function to execute lists of quantum circuits on the specified backend,
`timeit`(f)	Calculates the amount of time a function takes to execute
`xrvariable_to_counts`(dataset, identifier, ...)	Retrieve counts from xarray dataset.