SOURCE-LINKED INTELLIGENCE
Neutral-Atom-based Quantum Optimization for Resource Allocation in NOMA Networks
In wireless communication networks, many resource optimization problems are nondeterministic polynomial-time hard (NP-hard) due to their combinatorial nature and high computational complexity. Recently, neutral-atom-based quantum computing has emerged as a promising platform for efficiently solving such problems by leveraging quantum superposition and entanglement. However, its application to wireless communication optimization problems remains largely unexplored. In this paper, we investigate the use of neutral-atom quantum platforms to solve the maximum access problem (MAP), formulated as a
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T15:10:49.000Z
First collected: 2026-09-23T04:11:12.117Z. This is not the publication date.