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Quantum-activated neural reservoirs on-chip open up large hardware security models for resilient authentication
March 22, 2024, 4:10 a.m. | Zhao He, Maxim S. Elizarov, Ning Li, Fei Xiang, Andrea Fratalocchi
cs.CR updates on arXiv.org arxiv.org
Abstract: Quantum artificial intelligence is a frontier of artificial intelligence research, pioneering quantum AI-powered circuits to address problems beyond the reach of deep learning with classical architectures. This work implements a large-scale quantum-activated recurrent neural network possessing more than 3 trillion hardware nodes/cm$^2$, originating from repeatable atomic-scale nucleation dynamics in an amorphous material integrated on-chip, controlled with 0.07 nW electric power per readout channel. Compared to the best-performing reservoirs currently reported, this implementation increases the scale …
address ai-powered architectures artificial artificial intelligence arxiv authentication beyond chip cs.ai cs.cr deep learning frontier hardware hardware security intelligence intelligence research large network neural network nodes problems quantum research resilient scale security security models work
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