Issue |
EPL
Volume 150, Number 4, May 2025
|
|
---|---|---|
Article Number | 48003 | |
Number of page(s) | 7 | |
Section | Quantum information | |
DOI | https://doi.org/10.1209/0295-5075/add805 | |
Published online | 06 June 2025 |
A coherence monotone from Kirkwood-Dirac nonclassicality with respect to mutually unbiased bases
1 School of Mathematics and Statistics, Shaanxi Normal University - Xi'an 710119, China
2 School of Mathematical Sciences, MOE-LSC, Shanghai Jiao Tong University - Shanghai 200240, China
3 Shanghai Seres Information Technology Co., Ltd - Shanghai 200040, China
4 Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology Shenzhen 518055, China
5 School of Mathematical Sciences, Capital Normal University - Beijing 100048, China
Received: 25 March 2025
Accepted: 13 May 2025
The Kirkwood-Dirac distribution, serving as an informationally complete representation of a quantum state, has recently garnered increasing attention. We investigate the Kirkwood-Dirac classicality with respect to mutually unbiased bases. For prime-dimensional Hilbert spaces, we demonstrate that a quantum state exhibits Kirkwood-Dirac classicality for two distinct sets of mutually unbiased bases (A,B) and if and only if it is incoherent with respect to A. We subsequently introduce a coherence monotone based on Kirkwood-Dirac nonclassicality with respect to mutually unbiased bases. Additionally, we establish that this coherence monotone can be expressed through weak values, suggesting that quantum coherence can be utilized to detect anomalous weak values.
© 2025 EPLA. All rights, including for text and data mining, AI training, and similar technologies, are reserved
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.