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Design and Implementation of Energy-Efficient Majority-Logic-Based Approximate Adders Using Adiabatic Quantum-Flux-Parametron Technology

Mengmeng Wang, Olivia Chen, Nobuyuki Yoshikawa

Electrostatic Gate-Tunable Josephson Junctions in JoSIM: Modeling, Simulation, and I--V Characterization

Johannes a Delport, Olivia Chen

True stochastic number generator using adiabatic quantum-flux-parametron logic

Wenhui Luo, Olivia Chen, Nobuyuki Yoshikawa, Naoki Takeuchi

Buffer and Splitter Insertion for Adiabatic Quantum-Flux-Parametron Circuits

Rongliang Fu, Mengmeng Wang, Yirong Kan, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Tsung-Yi Ho

Dual-mode neuron design with deterministic and non-deterministic operations using adiabatic superconductor devices

Tomoharu Yamauchi, Naoki Takeuchi, Nobuyuki Yoshikawa, Hao San, Olivia Chen

SuperSIM: a comprehensive benchmarking framework for neural networks using superconductor Josephson devices

Guangxian Zhu, Yirong Kan, Renyuan Zhang, Yasuhiko Nakashima, Wenhui Luo, Naoki Takeuchi, Nobuyuki Yoshikawa, Olivia Chen

A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits

Masoud Zabihi, Yanyue Xie, Zhengang Li, Peiyan Dong, Geng Yuan, Olivia Chen, Massoud Pedram, Yanzhi Wang

Design and Implementation of Power Consumption Reduction Binary Neural Networks Using Adiabatic Quantum-Flux-Parametron Logic

Tomoharu Yamauchi, Hao San, Nobuyuki Yoshikawa, Olivia Chen

Extremely energy-efficient non-linear function approximation framework using stochastic superconductor devices

Olivia Chen, Renyuan Zhang, Wenhui Luo, Yanzhi Wang, Nobuyuki Yoshikawa

Majority-Logic-Based Approximate Adders Using Adiabatic Quantum-Flux-Parametron

Mengmeng Wang, Olivia Chen, Nobuyuki Yoshikawa