Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems

05/17/2022
by   Bryan Liu, et al.
0

This paper introduces a new quantum computing framework integrated with a two-step compressed sensing technique, applied to a joint channel estimation and user identification problem. We propose a variational quantum circuit (VQC) design as a new denoising solution. For a practical grant-free communications system having correlated device activities, variational quantum parameters for Pauli rotation gates in the proposed VQC system are optimized to facilitate to the non-linear estimation. Numerical results show that the VQC method can outperform modern compressed sensing techniques using an element-wise denoiser.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/12/2023

Quantum Phase Estimation by Compressed Sensing

As a signal recovery algorithm, compressed sensing is particularly usefu...
research
03/01/2018

Recovering quantum gates from few average gate fidelities

Characterising quantum processes is a key task in and constitutes a chal...
research
09/13/2022

Data-Driven Compressed Sensing for Massive Wireless Access

The central challenge in massive machine-type communications (mMTC) is t...
research
11/15/2013

Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities

As a lossy compression framework, compressed sensing has drawn much atte...
research
06/26/2018

Grant-Free Massive MTC-Enabled Massive MIMO: A Compressive Sensing Approach

A key challenge of massive MTC (mMTC), is the joint detection of device ...
research
05/02/2018

Visible Light Communications Based Indoor Positioning via Compressed Sensing

This paper presents an approach for visible light communication-based in...
research
05/26/2021

Compressed Sensing Measurement of Long-Range Correlated Noise

Long-range correlated errors can severely impact the performance of NISQ...

Please sign up or login with your details

Forgot password? Click here to reset