On Simultaneous Information and Energy Transmission through Quantum Channels
Bishal Kumar Das, Lav R. Varshney, Vaibhav Madhok

TL;DR
This paper characterizes the maximum rate of simultaneous information and energy transmission through quantum channels, introducing a quantum analogue of the capacity-power function and analyzing its properties for various channel types.
Contribution
It introduces the quantum-classical capacity-power function, proves its concavity and additivity for certain channels, and provides analytical expressions for noiseless channels using random quantum state properties.
Findings
Capacity-power function is concave and additive for classical-quantum channels.
Properties hold for noiseless channels with pure states.
Analytical expressions derived for noiseless channels using random quantum states.
Abstract
The optimal rate at which information can be sent through a quantum channel when the transmitted signal must simultaneously carry some minimum amount of energy is characterized. To do so, we introduce the quantum-classical analogue of the capacity-power function and generalize results in classical information theory for transmitting classical information through noisy channels. We show that the capacity-power function for a classical-quantum channel, for both unassisted and private protocol, is concave and also prove additivity for unentangled and uncorrelated ensembles of input signals for such channels. This implies we do not need regularized formulas for calculation. We show these properties also hold for all noiseless channels when we restrict the set of input states to be pure quantum states. For general channels, we find that the capacity-power function is piece-wise concave. We…
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Taxonomy
TopicsMolecular Communication and Nanonetworks · Energy Harvesting in Wireless Networks · Quantum Computing Algorithms and Architecture
