AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Self-Adaptive Neural Calibration of Dynamic Comparators Using Time-Domain Encoding
This work presents a dynamic comparator calibration architecture that works entirely in the digital domain with no analog correction element of any kind. The system is built around a StrongARM latch comparator paired with a 7-bit on-chip timeto-digital converter (TDC). Since comparator offset shifts the switching insta...
Noise-Aware Compilation for Heterogeneous NISQ Hardware: A Cross-Topology Empirical Study
Noisy Intermediate-Scale Quantum (NISQ) processors exhibit substantial heterogeneity in their per-edge twoqubit gate error rates, with current-generation devices showing more than two orders of magnitude variation across their coupling map. An empirical cross-topology study of qubitmapping strategies is presented for f...