Low-Complexity Rydberg Array Reuse: Modeling and Receiver Design for Sparse Channels

TL;DR

This paper explores low-complexity multiplexed Rydberg array architectures inspired by hybrid beamforming techniques, aiming to enable practical, scalable quantum-enhanced communication systems through modeling and receiver design for sparse channels.

Contribution

It introduces a systematic study on design principles, modeling, and precoding strategies for multiplexed Rydberg arrays, addressing practical limitations of current atomic sensor array implementations.

Findings

Developed equivalent models for multiplexed Rydberg arrays

Proposed precoding strategies for sparse channel environments

Reduced system bulkiness compared to traditional designs

Abstract

Rydberg atomic quantum receivers have been seen as novel radio frequency measurements and the high sensitivity to a large range of frequencies makes it attractive for communications reception. However, current implementations of Rydberg array antennas predominantly rely on simple stacking of multiple single-antenna units. While conceptually straightforward, this approach leads to substantial system bulkiness due to the unique requirements of atomic sensors, particularly the need for multiple spatially separated laser setups, rendering such designs both impractical for real-world applications and challenging to fabricate. This limitation underscores the critical need for developing multiplexed Rydberg sensor array architectures. In the domain of conventional RF array antennas, hybrid analog-digital beamforming has emerged as a pivotal architecture for large-scale millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems, as it substantially reduces the hardware complexity associated with fully-digital beamforming while closely approaching its performance. Drawing inspiration from this methodology, we conduct a systematic study in this work on the design principles, equivalent modeling, and precoding strategies for low-complexity multiplexed Rydberg array, an endeavor crucial to enabling practical and scalable quantum-enhanced communication systems.