Corrupted sensing quantum state tomography

TL;DR

This paper introduces a corrupted sensing quantum state tomography method that simultaneously reconstructs quantum states and structured noise using simple measurements, improving efficiency and robustness in noisy quantum systems.

Contribution

It proposes a novel framework for quantum state tomography that handles structured noise without prior information, enhancing accuracy and practicality in quantum system characterization.

Findings

Achieves high-quality state recovery with incomplete measurements

Handles Gaussian and Poisson sparse noise effectively

Suitable for large quantum systems and noise reduction

Abstract

The reliable characterization of quantum states as well as any potential noise in various quantum systems is crucial for advancing quantum technologies. In this work we propose the concept of corrupted sensing quantum state tomography which enables the simultaneous reconstruction of quantum states and structured noise with the aid of simple Pauli measurements only. Without additional prior information, we investigate the reliability and robustness of the framework. The power of our algorithm is demonstrated by assuming Gaussian and Poisson sparse noise for low-rank state tomography. In particular, our approach is able to achieve a high quality of the recovery with incomplete sets of measurements and is also suitable for performance improvement of large quantum systems. It is envisaged that the techniques can become a practical tool to greatly reduce the cost and computational effort for quantum tomography in noisy quantum systems.