Quantum-Dot Cellular AutomataMachine Learning in Materials ScienceQuantum Computing Algorithms and Architecture

S. Ng, Marcel Walter, S. Hofmann, J. Drewniok, Robert Wille, Konrad Walus

2026.1.1IEEE TRANSACTIONS ON NANOTECHNOLOGY

DOI: 10.1109/tnano.2026.3689032

要旨

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引用形式

NG, S., et al. RTL-to-Atoms synthesis of a machine learning accelerator on atomic-scale computers. IEEE TRANSACTIONS ON NANOTECHNOLOGY, 2026, 25: 197–202.