Jul 22, 2019 · The Adiabatic Quantum-Flux-Parametron (AQFP) superconducting technology has been recently developed, which achieves the highest energy efficiency among ...

This work is the first to develop an SC-based DNN acceleration framework using AQFP technology. The deep-pipelining nature of AQFP circuits translates into the ...

This work is the first to develop an SC-based DNN acceleration framework using AQFP technology. The deep-pipelining nature of AQFP circuits translates into the ...

Jun 26, 2019 · This work is the first to develop an SC-based DNN accelera- tion framework using AQFP technology. The deep-pipelining nature of AQFP circuits ...

This work is the first to develop an SC-based DNN acceleration framework using AQFP technology, which experimental results suggest can achieve up to 6.8 ...

The Adiabatic Quantum-Flux-Parametron (AQFP) superconducting technology has been recently developed, which achieves the highest energy efficiency among ...

A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. R Cai, A Ren, O Chen, N Liu, C Ding ...

A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. Cai, Ruizhe;Ren, Ao;Chen, Olivia;Liu ...

A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology · Ruizhe Cai, Ao Ren, Olivia Chen ...

A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. R Cai, A Ren, O Chen, N Liu, C Ding, X ...