Selective Efficient Quantum Process Tomography

TL;DR

This paper introduces a selective and efficient quantum process tomography method that allows precise estimation of specific parameters or all average survival probabilities of a quantum channel, improving the efficiency of quantum characterization.

Contribution

The paper presents a novel quantum process tomography technique that is both selective and efficient, enabling targeted parameter estimation with fixed precision.

Findings

Efficient estimation of specific matrix elements of quantum channels.

Ability to estimate all average survival probabilities of a channel.

Method reduces resource requirements for quantum process characterization.

Abstract

We present a new method for quantum process tomography. The method enables us to efficiently estimate, with fixed precision, any of the parameters characterizing a quantum channel. It is selective since one can choose to estimate the value of any specific set of matrix elements of the super-operator describing the channel. Also, we show how to efficiently estimate all the average survival probabilities associated with the channel (i.e., all the diagonal elements of its $\chi$--matrix.