Abstract: This work introduces an error feedback approach for reducing quantization noise of distributed graph filters. It comes from error spectrum shaping ...

Deep learning has achieved remarkable success in graph-related tasks, yet this accomplishment heavily relies on large-scale high-quality annotated datasets. However, acquiring such datasets can be ...

Abstract: Fault-tolerant quantum computing critically relies on quantum error correction. We study surface-code decoding with diagonally correlated two-qubit $\mathbf ...

From cancer to Alzheimer’s: could a renewed focus on energy transform biomedicine? Including energy dynamics in research could improve our understanding of diseases and of the healing processes that ...

NOOGH is designed for high-security, production-grade multi-agent systems—not casual chatbots.