Unambiguous State Discrimination of two density matrices in Quantum Information Theory
Philippe Raynal

TL;DR
This thesis develops theoretical methods for unambiguously discriminating two mixed quantum states, providing bounds, conditions, and explicit solutions, with applications to quantum communication protocols.
Contribution
It introduces reduction theorems simplifying the USD problem, derives tighter bounds and conditions for optimal discrimination, and provides analytical solutions for specific classes of mixed states.
Findings
Derived tighter bounds on failure probability using fidelity.
Constructed optimal measurements for certain mixed states.
Applied results to quantum key distribution protocols.
Abstract
In this thesis we study the problem of unambiguously discriminating two mixed quantum states. We first present reduction theorems for optimal unambiguous discrimination of two generic density matrices. We show that this problem can be reduced to that of two density matrices that have the same rank in a 2-dimensional Hilbert space. These reduction theorems also allow us to reduce USD problems to simpler ones for which the solution might be known. As an application, we consider the unambiguous comparison of linearly independent pure states with a simple symmetry. Moreover, lower bounds on the optimal failure probability have been derived. For two mixed states they are given in terms of the fidelity. Here we give tighter bounds as well as necessary and sufficient conditions for two mixed states to reach these bounds. We also construct the corresponding optimal measurement. With…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum Mechanics and Applications
