Sauer, Alexander ; Alber, Gernot (2023)
Quantum Bounds on Detector Efficiencies for Violating Bell Inequalities Using Semidefinite Programming.
In: Cryptography, 2020, 4 (1)
doi: 10.26083/tuprints-00016111
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Quantum Bounds on Detector Efficiencies for Violating Bell Inequalities Using Semidefinite Programming |
Language: | English |
Date: | 28 November 2023 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2020 |
Place of primary publication: | Basel |
Publisher: | MDPI |
Journal or Publication Title: | Cryptography |
Volume of the journal: | 4 |
Issue Number: | 1 |
Collation: | 10 Seiten |
DOI: | 10.26083/tuprints-00016111 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | Loophole-free violations of Bell inequalities are crucial for fundamental tests of quantum nonlocality. They are also important for future applications in quantum information processing, such as device-independent quantum key distribution. Based on a detector model which includes detector inefficiencies and dark counts, we estimate the minimal requirements on detectors needed for performing loophole-free bipartite and tripartite Bell tests. Our numerical investigation is based on a hierarchy of semidefinite programs for characterizing possible quantum correlations. We find that for bipartite setups with two measurement choices and our detector model, the optimal inequality for a Bell test is equivalent to the Clauser–Horne inequality. |
Uncontrolled Keywords: | bell inequality, semidefinite programming, detector efficiency, dark counts |
Identification Number: | 2 |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-161119 |
Additional Information: | This article belongs to the Special Issue Quantum Cryptography and Cyber Security |
Classification DDC: | 500 Science and mathematics > 530 Physics |
Divisions: | 05 Department of Physics > Institute of Applied Physics |
Date Deposited: | 28 Nov 2023 13:38 |
Last Modified: | 01 Dec 2023 10:34 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/16111 |
PPN: | 513576797 |
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