Ultimate precision of joint parameter estimation under noisy Gaussian environment
Bakmou Lahcen, Daoud Mohammed

TL;DR
This paper investigates the ultimate precision limits of joint parameter estimation in noisy Gaussian environments, demonstrating that certain entangled Gaussian states can surpass the standard quantum limit despite environmental noise.
Contribution
It explores the ultimate bounds of multiparameter quantum estimation with Gaussian probes under realistic noise, highlighting the advantage of entangled states in surpassing standard quantum limits.
Findings
Entangled Gaussian states outperform classical states in noisy environments.
Upper and lower bounds of HCRB can beat the standard quantum limit.
Gaussian resources are advantageous for quantum estimation under noise.
Abstract
The major problem of multiparameter quantum estimation theory is to find an ultimate measurement scheme to go beyond the standard quantum limits that each quasi-classical estimation measurement is limited by. Although, in some specifics quantum protocols without environmental noise, the ultimate sensitivity of a multiparameter quantum estimation can beat the standard quantum limit. However, the presence of noise imposes limitations on the enhancement of precision due to the inevitable existence of environmental fluctuations. Here, we address the motivation behind the usage of Gaussian quantum resources and their advantages in reaching the standard quantum limits under realistic noise. In this context, our work aims to explore the ultimate limits of precision for the simultaneous estimation of a pair of parameters that characterize the displacement channel acting on Gaussian probes and…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
