Overcoming the conventional trade-off between throughput and bit error rate (BER)
performance, versus computational complexity is a long-term challenge for uplink Multiple …

In this paper, we propose a quantum algorithm that supports a real-valued higher-order
unconstrained binary optimization (HUBO) problem. This algorithm is based on the Grover …

We present the Hybrid Polar Decoder (HyPD), a hybrid classical–quantum decoder design
for Polar error correction codes, which are becoming widespread in today's 5G and …

Intelligent Reflecting Surface (IRS) significantly improves the energy utilization efficiency in
6th generation cellular communication systems. Here, we consider a system with multiple …

With the continuous growth of the Internet of Things (IoT), the trend of increasing numbers of
IoT devices will continue. To increase the network's capability to support a large number of …

Quantum annealing offers an appealing route to handle large-scale optimization problems.
Existing Quantum Annealing processing units are readily available via cloud platform …

The quantum approximate optimization algorithm (QAOA) is a hybrid quantum–classical
algorithm to solve binary-variable optimization problems. Due to the short circuit depth and …

Recent years have witnessed a tremendous amount of interest in wireless sensing, ie,
instead of employing traditional sensors, wireless signal is utilized for sensing purposes …

We introduce multiple parametrized circuit ansätze and present the results of a numerical
study comparing their performance with a standard Quantum Alternating Operator Ansatz …

Visible Light Backscatter Communication (VLBC) presents an emerging ultra-low-power IoT
connectivity solution with high spatial-spectral efficiency and intrinsic human-perceivable …