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

Quantum Annealing provides a heuristic method leveraging quantum mechanics for solving
Quadratic Unconstrained Binary Optimization problems. Existing Quantum Annealing …

Over the past decade, the usefulness of quantum annealing hardware for combinatorial
optimization has been the subject of much debate. Thus far, experimental benchmarking …

User demand for increasing amounts of wireless capacity continues to outpace supply, and
so to meet this demand, significant progress has been made in new MIMO wireless physical …

Regarding the massive multiple-input multiple-output (MIMO) uplink, the quantum version
detection based on the minimum mean square error criterion is developed for complexity …

6G technologies such as massive MIMO, dense cells, innovative air interface multiplexing
techniques, and ultra-high frequencies stand to significantly benefit from significantly …

We consider the problem of channel estimation for uplink multiuser massive MIMO systems,
where, in order to significantly reduce the hardware cost and power consumption, one-bit …

Massive multiple-input multiple-output (MIMO) has the potential to substantially improve the
spectral efficiency, robustness and coverage of mobile networks. However, such potential is …

In this paper, a two-step codeword design approach for millimeter wave (mmWave) massive
MIMO systems is presented. Ideal codewords are first designed, which ignores the hardware …

We present a novel linear minimum-mean-squared-error (MMSE) joint precoding and
equalization technique for a downlink (DL) massive multiple-input-multiple-output (MIMO) …