Analytical Bound of Concurrence
Zhihao Ma, Zhi-Hua Chen
TL;DR
This paper presents an analytical lower bound for concurrence, a measure of quantum entanglement, applicable to both bipartite and multipartite quantum states, aiding in quantifying entanglement more effectively.
Contribution
The paper introduces a new analytical lower bound for concurrence that improves the quantification of entanglement in complex quantum systems.
Findings
Provides a computable lower bound for concurrence
Applicable to bipartite and multipartite states
Enhances entanglement quantification methods
Abstract
We give an analytical lower bound of concurrence for both bipartite and multipartite quantum states.
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Taxonomy
TopicsModel Reduction and Neural Networks · Modeling and Simulation Systems · Neural Networks and Applications