Information flow-enhanced precision in collisional quantum thermometry

TL;DR

This paper introduces a multilayered collisional quantum thermometer that leverages information flow control to enhance temperature measurement precision, especially during short interaction times.

Contribution

It presents a novel layered quantum thermometer architecture that improves sensitivity by tuning information backflow, revealing underlying information-theoretic mechanisms.

Findings

Enhanced sensitivity for short interaction times.

Information backflow tuning improves measurement precision.

Revealed information-theoretic principles behind the architecture.

Abstract

We describe and analyze a quantum thermometer based on a multilayered collisional model. We propose a qubit system whose architecture provides significant sensitivity even for short interaction times between the ancillae that compose the thermometer probe and the system to be probed. The assessment of the flow of information taking place within the layered thermometer and between system and thermometer reveals that the tuning of the mutual backflow of information has a positive influence on the precision of thermometry, and helps unveiling the information-theoretic mechanisms behind the working principles of the proposed architecture.