Selective and Efficient Quantum State Tomography and its Application to Quantum Process Tomography

TL;DR

The paper introduces a method for efficient quantum state and process tomography that allows precise estimation of matrix elements and is suitable for selective quantum process characterization.

Contribution

It presents a novel algorithm for efficient quantum state and process tomography, enabling fixed-precision estimation and selective process analysis.

Findings

Efficient estimation of density matrix elements with fixed precision.

Algorithm suitability for quantum process tomography.

Enables selective and resource-efficient quantum process analysis.

Abstract

We present a method for quantum state tomography that enables the efficient estimation, with fixed precision, of any of the matrix elements of the density matrix of a state, provided that the states from the basis in which the matrix is written can be efficiently prepared in a controlled manner. Furthermore, we show how this algorithm is well suited for quantum process tomography, enabling to perform selective and efficient quantum process tomography.