X-ResQ introduces a QA-based MIMO detector system with fine-grained quantum task parallelism enabled by Reverse Annealing. It aims to improve wireless performance by leveraging QA to expedite computation for optimal ML detection. X-ResQ achieves near-optimal throughput for 4x6 MIMO with 16-QAM, outperforming other detectors. The system showcases potential for ultra-large MIMO configurations and addresses challenges in QA MIMO detectors. Parallelization strategies are essential for future large-scale qubit processors in quantum computing.
To Another Language
from source content
arxiv.org
Key Insights Distilled From
by Minsung Kim,... at arxiv.org 03-01-2024
https://arxiv.org/pdf/2402.18778.pdfDeeper Inquiries