iqm.benchmarks

IQM’s Python Library Benchmarking Suite QCVV.

Subpackages and modules

benchmark_definition	Implementation of the base class for defining a benchmark.
circuit_containers	Module containing classes to easily interact with quantum circuits.
compressive_gst	Compressive GST is gate set tomography implementation specializing on low Kraus rank models.
entanglement	GHZ verifies the generation of Greenberger-Horne-Zeilinger states.
logging_config	Module to initialize logger.
optimization	Q-score estimates the size of combinatorial opt.
quantum_volume	Quantum Volume reflects the deepest circuit a given number of qubits can execute with meaningful results.
randomized_benchmarking	Randomized Benchmarking reflects the fidelity of a gate or operation on a number of qubits.
readout_mitigation	M3 modification for readout mitigation at IQM QPU's.
utils	General utility functions.
utils_plots	Plotting and visualization utility functions.
utils_shadows	Shadow Tomography utility functions.