Advantages of quantum mechanics in the estimation theory
Bakmou Lahcen, Daoud Mohammed

TL;DR
This paper explores how quantum mechanics enhances estimation precision beyond classical limits by analyzing quantum Fisher information bounds, especially with Gaussian states and entangled resources in noisy environments.
Contribution
It extends classical estimation principles to quantum systems, compares various quantum Fisher information bounds, and proposes measurement schemes using Gaussian entangled states under noise.
Findings
Quantum Fisher Information bounds differ due to non-commutativity.
HCRB is the most informative bound for multiparameter estimation.
Gaussian entangled states improve estimation under noise.
Abstract
Quantum estimation theory is a reformulation of random statistical theory with the modern language of quantum mechanics. In fact, the density operator plays a role similar to that of probability distribution functions in classical probability theory and statistics. However, the use of the probability distribution functions in classical theories is founded on premises that seem intuitively clear enough. Whereas in quantum theory, the situation with operators is different due to its non-commutativity nature. By exploiting this difference, quantum estimation theory aims to attain ultra-measurement precision that would otherwise be impossible with classical resources. In this thesis, we reviewed all the fundamental principles of classical estimation theory. Next, we extend our analysis to quantum estimation theory. Due to the non-commutativity of quantum mechanics, we prove the different…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Benford’s Law and Fraud Detection
