Noise-assisted and monitoring-enhanced quantum bath tagging
Donato Farina, Vasco Cavina, Marco G. Genoni, Vittorio Giovannetti

TL;DR
This paper explores how adding and monitoring an extra environment can enhance the ability to distinguish different thermal bath statistics, with potential implementation in circuit QED systems.
Contribution
It introduces a novel approach using an additional environment and continuous monitoring to improve quantum bath discrimination capabilities.
Findings
Enhanced discrimination performance with an extra bath.
Improved results through continuous monitoring strategies.
Applicability to circuit QED setups.
Abstract
We analyze the capability of discriminating the statistical nature of a thermal bath by exploiting the interaction with an additional environment. We first shows that, at difference with the standard scenario where the additional environment is not present, the modified evolution induced by the mere presence of the extra bath allows to improve the discrimination task. We then also consider the possibility of continuously monitoring the additional environment and we discuss in detail how to obtain improved performances in the discrimination by considering different kinds of interaction, i.e. different jump operators, and different monitoring strategies corresponding to continuous homodyne and photo-detection. Our strategy can be in principle implemented in a circuit QED setup and paves the way to further developments of quantum probing via continuous monitoring.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing
