39 citations · 104 across the 9 of their papers we have counts for
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cs.NE2019★ 39 cited
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology
Ruizhe Cai, Ao Ren, Olivia Chen +7
The Adiabatic Quantum-Flux-Parametron (AQFP) superconducting technology has been recently developed, which achieves the highest energy efficiency among superconducting logic famili…
cs.ET2019★ 17 cited
Systematic method to evaluate energy dissipation in adiabatic quantum-flux-parametron logic
Taiki Yamae, Naoki Takeuchi, Nobuyuki Yoshikawa
Adiabatic quantum-flux-parametron (AQFP) logic is an energy-efficient superconductor logic. It operates with zero static power dissipation and very low dynamic power dissipation ow…