Quantum key distribution rates from semidefinite programming
نویسندگان
چکیده
Computing the key rate in quantum distribution (QKD) protocols is a long standing challenge. Analytical methods are limited to handful of with highly symmetric measurement bases. Numerical can handle arbitrary bases, but either use min-entropy, which gives loose lower bound von Neumann entropy, or rely on cumbersome dedicated algorithms. Based recently discovered semidefinite programming (SDP) hierarchy converging conditional used for computing asymptotic rates device independent case, we introduce an SDP that converges secret case characterised devices. The resulting algorithm efficient, easy implement and use. We illustrate its performance by recovering known bounds extending high-dimensional QKD previously intractable cases. also it reanalyse experimental data demonstrate how higher be achieved when full statistics taken into account.
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Andrew S. Fletcher,* Peter W. Shor, and Moe Z. Win Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Massachusetts 02420 Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA Received 7 June 2006; publishe...
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ژورنال
عنوان ژورنال: Quantum
سال: 2023
ISSN: ['2521-327X']
DOI: https://doi.org/10.22331/q-2023-05-24-1019