Quantum-approximate optimization algorithm (QAOA) is promising in Noisy Intermediate-
Scale Quantum (NISQ) computers with applications for NP-hard combinatorial optimization …

Quantum Annealing (QA)-accelerated MIMO detection is an emerging research approach in
the context of NextG wireless networks. The opportunity is to enable large MIMO systems …

The potential synergy between quantum communications and future wireless
communication systems is explored. By proposing a quantum-native or quantum-by-design …

With unprecedented increases in traffic load in today's wireless networks, design challenges
shift from the wireless network itself to the computational support behind the wireless …

Massive multiple-input multiple-output (MIMO) has gained widespread popularity in recent
years due to its ability to increase data rates, improve signal quality, and provide better …

Exploiting (near-) optimal MIMO signal processing algorithms in the next generation (NextG)
cellular systems holds great promise in achieving significant wireless performance gains in …

Over the last several years, Oscillator Ising Machines (OIMs) have been shown to
heuristically solve NP-hard combinatorial optimization (CO) problems, most notably MAX …

Multi-user (MU), multiple-input, multiple-output (MIMO) detection has been extensively
investigated, and many techniques have been proposed. However, further performance …

Multiple-Input-Multiple-Output~(MIMO) signal detection is central to every state-of-the-art
communication system, and enhancements in error performance and computation …

Quantum annealing (QA) that encodes optimization problems into Hamiltonians remains the
only near-term quantum computing paradigm that provides sufficient many qubits for real …