estimate_purity

forest.benchmarking.randomized_benchmarking.estimate_purity(dim: int, op_expect: numpy.ndarray, renorm: bool = True)

The renormalized, or ‘shifted’, purity is given in equation (10) of [ECN] where d is the dimension of the Hilbert space, 2**num_qubits

Parameters:

• dim – dimension of the hilbert space
• op_expect – array of estimated expectations of each operator being measured
• renorm – flag that renormalizes result to be between 0 and 1

Returns:

purity given the operator expectations