Optimizing entanglement in two-qubit systems
Salvio Luna-Hernandez, Claudia Quintana, Oscar Rosas-Ortiz

TL;DR
This paper introduces a geometric framework for analyzing two-qubit entanglement, revealing optimized X-shaped states and a new entanglement measure L that aligns with concurrence and distinguishes state ranks.
Contribution
The work develops a convex geometric model based on entropy and coherences, introducing the L-measure of entanglement that correlates with concurrence and applies to dynamic states.
Findings
Optimized two-qubit states are X-shaped with specific coherence properties.
The L-measure of entanglement matches the Hill-Wootters concurrence C.
The geometric model applies to both static and dynamic two-qubit states.
Abstract
We investigate entanglement in two-qubit systems using a geometric representation based on the minimum of essential parameters. The latter is achieved by requiring subsystems with the same entropy, regardless of whether the state of the entire system is pure or mixed. The geometric framework is provided by a convex set S that forms a right-triangle, whose points are linked to just two of the coherences of the system under study. As a result, we find that optimized states of two qubits are X-shaped and host pairs of identical populations while reducing the number of coherences involved. A geometric L-measure of entanglement is introduced as the distance between the points in S that represent entangled states and the closest point that defines separable states. It is shown that L reproduces the results of the Hill-Wootters concurrence C, so that C can be interpreted as a distance-like…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
