iqm.benchmarks#

IQM’s Python Library Benchmarking Suite QCVV.

Subpackages and modules

`benchmark`	Generic Benchmark class
`benchmark_definition`	This module implements the base class for defining a benchmark.
`circuit_containers`	This module contains classes to easily interact with quantum circuits
`compressive_gst`	Compressive GST is a self-consistent characterization method which constructs the process matrices for a set of gates, as well as full parametrizations of an initial state and a POVM.
`entanglement`	GHZ verifies the generation of Greenberger-Horne-Zeilinger states Graph State estimates the amount of bipartite entanglement of native graph states
`logging_config`	Module to initialize logger.
`optimization`	Q-score estimates the size of combinatorial optimization problems a given number of qubits can execute with meaningful results.
`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