most citedA Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology

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cs.AR2025

SCE-NTT: A Hardware Accelerator for Number Theoretic Transform Using Superconductor Electronics

Sasan Razmkhah, Mingye Li, Zeming Cheng +13

This research explores the use of superconductor electronics (SCE) for accelerating fully homomorphic encryption (FHE), focusing on the Number-Theoretic Transform (NTT), a key comp…