학술논문

JJ-Soma: Toward a Spiking Neuromorphic Processor Architecture
Document Type
Periodical
Source
IEEE Transactions on Applied Superconductivity IEEE Trans. Appl. Supercond. Applied Superconductivity, IEEE Transactions on. 33(8):1-7 Nov, 2023
Subject
Fields, Waves and Electromagnetics
Engineered Materials, Dielectrics and Plasmas
Neurons
Soma
Logic circuits
Integrated circuit modeling
Fabrication
SQUIDs
Logic gates
Artificial soma
single flux quantum
spiking neural network
superconductor electronics
Language
ISSN
1051-8223
1558-2515
2378-7074
Abstract
Neuromorphic computing and artificial neurons have been shown to improve the solution for some of the complex problems for conventional computers. We present a spiking soma Josephson junction-based soma (JJ-Soma) circuit that consists of a double-junction SQUID interfered with a resistor (threshold loop), a decaying superconductor loop cut by a resistor, which is coupled to the SQUIDlike structure. The proposed soma has three main properties: 1) ultrahigh-speed operation with minimal power consumption; 2) compatibility with standard foundry processes that allow fabrication with the available infrastructure; and 3) compatibility with conventional single flux quantum (SFQ) logic gates, which enables the design and implementation of complicated networks. Each soma circuit covers 40 µm × 80 µm area on-chip with different activation functions. The circuits are fabricated in a commercial foundry for superconductors and they have been implemented and demonstrated experimentally.