Tutorial: High-speed low-power neuromorphic systems based on magnetic Josephson junctions
Josephson junctions and single flux quantum (SFQ) circuits form a natural neuromorphic
technology with SFQ pulses and superconducting transmission lines simulating action …
technology with SFQ pulses and superconducting transmission lines simulating action …
Ultralow power artificial synapses using nanotextured magnetic Josephson junctions
Neuromorphic computing promises to markedly improve the efficiency of certain
computational tasks, such as perception and decision-making. Although software and …
computational tasks, such as perception and decision-making. Although software and …
SuperMind: a survey of the potential of superconducting electronics for neuromorphic computing
Neuromorphic computing is a broad field that uses biological inspiration to address
computing design. It is being pursued in many hardware technologies, both novel and …
computing design. It is being pursued in many hardware technologies, both novel and …
A survey on superconducting computing technology: circuits, architectures and design tools
J Huang, R Fu, X Ye, D Fan - CCF Transactions on High Performance …, 2022 - Springer
Power and energy consumed by a high-performance computing system are a significant
problem nowadays. Superconducting computing technology may offer an attractive low …
problem nowadays. Superconducting computing technology may offer an attractive low …
Machine learning–based hysteretic lateral force-displacement models of reinforced concrete columns
Hysteretic lateral force-displacement (HLFD) models are important for efficient structural
analysis under cyclic loading (eg, earthquakes). This paper proposes a novel machine …
analysis under cyclic loading (eg, earthquakes). This paper proposes a novel machine …
Adiabatic superconducting artificial neural network: Basic cells
We consider adiabatic superconducting cells operating as an artificial neuron and synapse
of a multilayer perceptron (MLP). Their compact circuits contain just one and two Josephson …
of a multilayer perceptron (MLP). Their compact circuits contain just one and two Josephson …
[HTML][HTML] Fan-out and fan-in properties of superconducting neuromorphic circuits
Neuromorphic computing has the potential to further the success of software-based artificial
neural networks (ANNs) by designing hardware from a different perspective. Current …
neural networks (ANNs) by designing hardware from a different perspective. Current …
A new family of bioSFQ logic/memory cells
Superconductor electronics (SCE) is competing to become a platform for efficient
implementations of neuromorphic computing and deep learning algorithms (DLAs) with …
implementations of neuromorphic computing and deep learning algorithms (DLAs) with …
[HTML][HTML] Adiabatic superconducting cells for ultra-low-power artificial neural networks
We propose the concept of using superconducting quantum interferometers for the
implementation of neural network algorithms with extremely low power dissipation. These …
implementation of neural network algorithms with extremely low power dissipation. These …
Learning cell for superconducting neural networks
An energy-efficient adiabatic learning neuro cell is proposed. The cell can be used for on-
chip learning of adiabatic superconducting artificial neural networks. The static and dynamic …
chip learning of adiabatic superconducting artificial neural networks. The static and dynamic …