libmeasΒΆ

quMeas includes a set of high-performance C++ functions for quantum measurement using classical shadow tomography and cumulant exansion, compiled into libmeas. These functions are accessible in Python through Pybind11 bindings. They can be simply imported like any other Python modules

from qumeas.libmeas import *

  • generate_partition_non_crossing: Function to generate non-crossing partitioning for a list of Pauli strings. To generate paritions, pass in list of Pauli strings, maximum size of a block in the partition, and number of threads. Pauli strings are a list of int, with X = 1, Y = 2, Z = 3, I = 0.

  • partition_expectation_bits: Function to compute expectation values of a list of Pauli strings using cumulant expansion from quantum measurement output bits. The quantum measurement outbits can be from measurement using random basis in the classical shadow protocol. See QCumulant.compute_expectation_bits for details.

  • partition_expectation_state: Function to compute expectation values of a list of Pauli strings using cumulant expansion from state vector. See QCumulant.compute_expectation_state for details.

  • compute_expectation_basis: Function to compute expectation values of a list of Pauli strings using classical shadow tomography. See RandomMeasurement._compute_expectation for details.