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Quantum Information Processing

Parameterized entanglement measures with computable lower bounds

  • 01-03-2025
Published in:
Authors
Gui Bao
Xue-Na Zhu
Published in
Quantum Information Processing | Issue 3/2025

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Abstract

The article delves into the critical aspect of quantifying quantum entanglement, a fundamental component in quantum information processing. It introduces novel parameterized entanglement measures, namely q-concurrence, and demonstrates their well-defined nature as entanglement measures. The authors derive analytical lower bounds for these measures using the positive partial transpose (PPT) and realignment criteria, providing valuable insights into the quantification of entanglement for bipartite systems. The research also includes practical examples and calculations of q-concurrence for superposition states, highlighting the upper bounds of entanglement increase. This work enriches the theoretical framework of quantum entanglement, making it a compelling read for specialists in the field.
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Title
Parameterized entanglement measures with computable lower bounds
Authors
Gui Bao
Xue-Na Zhu
Publication date
01-03-2025
Publisher
Springer US
Published in
Quantum Information Processing / Issue 3/2025
Print ISSN: 1570-0755
Electronic ISSN: 1573-1332
DOI
https://doi.org/10.1007/s11128-025-04692-y
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