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Proceedings Paper

Improved key rates for quantum key distribution employing soft metrics using Bayesian inference with photon counting detectors
Author(s): Fred Daneshgaran; Maria Teresa Delgado; Marina Mondin
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Paper Abstract

This paper investigates the potential improvements that may be obtained in terms of the secret key transmission rate in a Quantum Key Distribution (QKD) scheme whereby photon-counting detectors are used at the receiver. To take full advantage of such detectors, soft information is generated in the form of Log-Likelihood Ratios (LLRs) using a Bayesian estimator of phase of the signal pulse which is used to carry the information. The technique is general in a sense that any optical communication scheme whereby the received mean photon count is relatively small, but not necessarily below one and uses the polarization state of light to transmit the binary data may benefit from the soft information processing proposed, although in this paper, we have focused on the QKD application. We demonstrate using simulations the significant reduction in the residual Bit Error Rate (BER) and Frame Error Rate (FER) that is achievable using the proposed soft information processing scheme for a given Quantum BER (QBER) on the quantum link, after the information reconciliation process using LDPC Forward Error Correction (FEC) coding.

Paper Details

Date Published: 7 September 2011
PDF: 11 pages
Proc. SPIE 8163, Quantum Communications and Quantum Imaging IX, 81630D (7 September 2011); doi: 10.1117/12.894330
Show Author Affiliations
Fred Daneshgaran, California State Univ., Los Angeles (United States)
Maria Teresa Delgado, Politecnico di Torino (Italy)
Marina Mondin, Politecnico di Torino (Italy)


Published in SPIE Proceedings Vol. 8163:
Quantum Communications and Quantum Imaging IX
Ronald E. Meyers; Yanhua Shih; Keith S. Deacon, Editor(s)

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