Compound channel models offer a simple and straightforward way of analyzing the stability of decoder design under model variations. With this work we provide a coding theorem for a large class of practically relevant compound channel models. We give explicit formulas for the cases of the Gaussian classical-quantum compound channels with unknown noise, unknown phase and unknown attenuation. We show analytically how the classical compound channel capacity formula motivates nontrivial choices of the displacement parameter of the Kennedy receiver. Our work demonstrates the value of the compound channel model as a method for the design of receivers in quantum communication.

Compound Channel Capacities under Energy Constraints and Application / Cacioppo, Andrea; Notzel, Janis; Rosati, Matteo. - (2021), pp. 640-645. (Intervento presentato al convegno IEEE International Symposium on Information Theory (ISIT 2021) tenutosi a Melbourne, Australia) [10.1109/ISIT45174.2021.9518144].

Compound Channel Capacities under Energy Constraints and Application

Cacioppo, Andrea
Investigation
;
2021

Abstract

Compound channel models offer a simple and straightforward way of analyzing the stability of decoder design under model variations. With this work we provide a coding theorem for a large class of practically relevant compound channel models. We give explicit formulas for the cases of the Gaussian classical-quantum compound channels with unknown noise, unknown phase and unknown attenuation. We show analytically how the classical compound channel capacity formula motivates nontrivial choices of the displacement parameter of the Kennedy receiver. Our work demonstrates the value of the compound channel model as a method for the design of receivers in quantum communication.
2021
IEEE International Symposium on Information Theory (ISIT 2021)
classical-quantum compound channels; capacity formula; gaussian channels
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Compound Channel Capacities under Energy Constraints and Application / Cacioppo, Andrea; Notzel, Janis; Rosati, Matteo. - (2021), pp. 640-645. (Intervento presentato al convegno IEEE International Symposium on Information Theory (ISIT 2021) tenutosi a Melbourne, Australia) [10.1109/ISIT45174.2021.9518144].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1682162
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