iqm.benchmarks.entanglement.ghz

GHZ state benchmark

Functions

append_rms(circuit, num_rms, backend)	Appends 1Q Clifford gates sampled uniformly at random to all qubits in the given circuit.
extract_fidelities(cal_url, qubit_layout)	Returns couplings and CZ-fidelities from calibration data URL
fidelity_analysis(run)	Analyze counts and compute the state fidelity
fidelity_ghz_coherences(dataset, ...)	Estimates the GHZ state fidelity based on the multiple quantum coherences method based on [Mooney, 2021]
fidelity_ghz_randomized_measurements(...)	Estimates GHZ state fidelity through cross-correlations of RMs.
generate_ghz_linear(num_qubits)	Generates a GHZ state by applying a Hadamard and a series of CX gates in a linear fashion.
generate_ghz_log_cruz(num_qubits)	Generates a GHZ state in log-depth according to https://arxiv.org/abs/1807.05572 :param num_qubits: the number of qubits of the GHZ state
generate_ghz_log_mooney(num_qubits)	Generates a GHZ state in log-depth according to https://arxiv.org/abs/2101.08946 :param num_qubits: the number of qubits of the GHZ state
generate_ghz_spanning_tree(graph, qubit_layout)	Generates a GHZ state in log-depth by computing a minimal spanning tree for a given coupling map.
get_cx_map(qubit_layout, graph)	Calculate the cx_map based on participating qubits and the 2QB gate fidelities between them.
get_edges(coupling_map, qubit_layout[, ...])	Produces a networkx.Graph from coupling map fidelity information, with edges given by couplings
plot_fidelities(observations, qubit_layouts)	Plots all the fidelities stored in the observations into a single plot of fidelity vs.

Classes

GHZBenchmark(backend, configuration)	The GHZ Benchmark estimates the quality of generated Greenberger–Horne–Zeilinger states
GHZConfiguration(*, benchmark, shots, ...)	GHZ state configuration

Inheritance