TY - GEN
T1 - Joint Quantum Communication and Sensing
AU - Wang, Shi Yuan
AU - Erdogan, Tuna
AU - Pereg, Uzi
AU - Bloch, Matthieu R.
N1 - Funding Information: S.-Y. Wang, T. Erdog˘an, and M. R. Bloch was suppoted by NSF award 1910859. U. Pereg was supported by DFG No. EXC-2111 – 390814868, BMBF No. 16KISQ028, and Israel CHE Fellowship for Quantum Science and Technology. Publisher Copyright: © 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - To capture the problem of joint communication and sensing in the quantum regime, we consider the problem of reliably communicating over a Classical-Quantum (c-q) channel that depends on a random parameter while simultaneously estimating the random parameter at the transmitter through a noisy feedback channel. Specifically, for non-Adaptive estimation strategies, we obtain an exact characterization of the optimal tradeoffs between the rate of communication and the error exponent of parameter estimation. As in the classical setting, the tradeoff is governed by the empirical distribution of the codewords, which simultaneously controls the rate of reliable communication and the error exponent.
AB - To capture the problem of joint communication and sensing in the quantum regime, we consider the problem of reliably communicating over a Classical-Quantum (c-q) channel that depends on a random parameter while simultaneously estimating the random parameter at the transmitter through a noisy feedback channel. Specifically, for non-Adaptive estimation strategies, we obtain an exact characterization of the optimal tradeoffs between the rate of communication and the error exponent of parameter estimation. As in the classical setting, the tradeoff is governed by the empirical distribution of the codewords, which simultaneously controls the rate of reliable communication and the error exponent.
UR - https://www.scopus.com/pages/publications/85144591995
U2 - 10.1109/ITW54588.2022.9965810
DO - 10.1109/ITW54588.2022.9965810
M3 - Conference contribution
T3 - 2022 IEEE Information Theory Workshop, ITW 2022
SP - 506
EP - 511
BT - 2022 IEEE Information Theory Workshop, ITW 2022
T2 - 2022 IEEE Information Theory Workshop, ITW 2022
Y2 - 1 November 2022 through 9 November 2022
ER -