PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
Information Reconciliation (IR) in QKD is a fundamental step in ensuring Alice and Bob share identical set of bits (reconciled key). IR could be done by one-way or two-way channel coding using an auxiliary public authenticated channel to send parities to correct the actual labels so that the sample labels at Alice and Bob match. We assume that communication is performed through an Optical Wireless (OW) or Free Space Optics (FSO) channel, which effects the received signal by a stochastic fading due to jitter in pointing. The effect is that the received samples do not match with the transmitted ones, this is the reason why IR is necessary in such a system. In a previous work, we analyzed the system performance over FSO channel, uncovering the dependence between performance and system parameters such as fading variance or the telescope gain. In this paper we want to study the overall performance and try to obtain optimal values for the parameters that influence the sign error probability.
Fred Daneshgaran,Francesco Di Stasio,Marina Mondin,Shlomi Arnon, andJudy Kupferman
"System parameter optimization for minimization of sign error probability in free space optical CV-QKD", Proc. SPIE 11134, Quantum Communications and Quantum Imaging XVII, 111340O (6 September 2019); https://doi.org/10.1117/12.2535049
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Fred Daneshgaran, Francesco Di Stasio, Marina Mondin, Shlomi Arnon, Judy Kupferman, "System parameter optimization for minimization of sign error probability in free space optical CV-QKD," Proc. SPIE 11134, Quantum Communications and Quantum Imaging XVII, 111340O (6 September 2019); https://doi.org/10.1117/12.2535049