Cold-Atom Rydberg Array with Spatiotemporal Multiplexing for High-Sensitivity Wireless Communications

2026-10-05

AI Summary

This study addresses the readout dead-time bottleneck and nonlinear binomial counting noise that limit cold-atom Rydberg arrays in wireless communications. To overcome these challenges, we propose a spatiotemporal multiplexing (STM) framework alongside a joint binomial particle smoothing (JBPS) algorithm. STM achieves gapless continuous signal sampling through subarray scheduling, while JBPS integrates quantum projection noise analysis to effectively suppress nonlinear noise amplification and enable precise state inference. Furthermore, this work reveals a fundamental trade-off between receiver sensitivity and system sustainability. By significantly reducing the bit error rate, the proposed approach surpasses the performance limitations of conventional quantum receivers, establishing a new paradigm for high-fidelity quantum-enhanced wireless communication systems.

Abstract

An effective Cold-Atom Rydberg Array (CoRA) architecture is investigated, which addresses the fundamental thermal noise limit in classical electromagnetics and intrinsic Doppler broadening as well as photon shot noise in conventional hot-vapor cell-based atomic receivers. However, translating the CoRA-based quantum electrometers into practical wireless communication receivers is bottlenecked by both the macroscopic readout dead-times and nonlinear binomial population counts rather than the additive-Gaussian baseband samples in conventional receivers. To address these critical challenges and facilitate the practicality of the CoRA, in this paper, a subarray scheduling-based spatiotemporal multiplexing (STM) framework is first proposed for gap-free symbol interrogation within an admitted packet. Additionally, a signal detection scheme based on a joint binomial particle smoother (JBPS) is proposed for burst-wise state and data inference. Furthermore, the weak-signal quantum-projection-noise (QPN) limit and the state-averaged finite-alphabet rate are derived for CoRA-assisted wireless communications. Numerical results demonstrate that: 1) The proposed STM-based CoRA scheme resolves the macroscopic temporal bottleneck for continuous signal sampling; 2) The proposed JBPS approach effectively mitigates the nonlinear noise amplification to achieve a lower bit error rate; and 3) Performance analysis reveals a fundamental sensitivity-sustainability tradeoff that increasing the number of atoms effectively suppresses the QPN, but simultaneously reduces the sustainable packet repetition rate.

Problem

• Cold-Atom Rydberg Array
• wireless communications
• readout dead-times
• binomial population counts
• quantum-projection-noise

Innovation

• Cold-Atom Rydberg Array
• Spatiotemporal Multiplexing
• Joint Binomial Particle Smoother
• Quantum Projection Noise
• Wireless Communications