Experimental Full-Domain Mapping of Quantum Correlation in Clauser-Horne-Shimony-Holt Scenarios
Abstract
Quantum correlation between two parties serves as a useful resource in the surging applications of quantum information. The Bell nonlocality and quantum steering have been proposed to describe nonclassical correlations against local-hidden-variable and local-hidden-state theories, respectively. To characterize the two types of nonclassical correlations, various nonlocality and steering inequalities have been established, and the amount of inequality violation serves as a helpful indicator for many entanglement-based tasks. Quantum state tomography has been employed for measuring quantum states, while the method requires intensive computation and does not directly verify either nonlocality or steering over the full domain independent of established theories. Here, we experimentally map the full-domain correlation with bipartite states for nonlocality and quantum steering in Clauser-Horne-Shimony-Holt scenarios. The measurement of the maps automatically accounts for detection imperfections. Furthermore, we demonstrate the application of the correlation maps in the entanglement-based quantum key distribution protocol with arbitrary bipartite states. The correlation maps show direct measurements and simple interpretations that can answer fundamental questions about nonlocality and quantum steering as well as contribute to quantum information applications in a straightforward manner.
Additional Information
© 2023 American Physical Society. We would like to thank Professor P. Kwiat for stimulating discussions. This project has been made possible in part by Grant No. 2020–225832 from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation, and National Institutes of Health Grants No. R35 CA220436 (Outstanding Investigator Award) and No. R01 EB028277.Attached Files
Published - PhysRevApplied.19.034049.pdf
Supplemental Material - SM_final.pdf
Files
PhysRevApplied.19.034049.pdf
Additional details
Identifiers
- Eprint ID
- 121184
- Resolver ID
- CaltechAUTHORS:20230427-536549000.5
- PMCID
- PMC10798678
Funding
- Chan Zuckerberg Initiative
- 2020-225832
- NIH
- R35 CA220436
- NIH
- R01 EB028277
- Silicon Valley Community Foundation
Dates
- Created
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2023-04-27Created from EPrint's datestamp field
- Updated
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2023-04-28Created from EPrint's last_modified field