Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring
More than a century after the discovery of superconductors (SCs), numerous studies have
been accomplished to take advantage of SCs in physics, power engineering, quantum …
been accomplished to take advantage of SCs in physics, power engineering, quantum …
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 …
SuperNPU: An extremely fast neural processing unit using superconducting logic devices
Superconductor single-flux-quantum (SFQ) logic family has been recognized as a highly
promising solution for the post-Moore's era, thanks to its ultra-fast and low-power switching …
promising solution for the post-Moore's era, thanks to its ultra-fast and low-power switching …
Superconducting nanowire spiking element for neural networks
As the limits of traditional von Neumann computing come into view, the brain's ability to
communicate vast quantities of information using low-power spikes has become an …
communicate vast quantities of information using low-power spikes has become an …
Superconductor computing for neural networks
The superconductor single-flux-quantum (SFQ) logic family has been recognized as a
promising solution for the post-Moore era, thanks to the ultrafast and low-power switching …
promising solution for the post-Moore era, thanks to the ultrafast and low-power switching …
Addressable superconductor integrated circuit memory from delay lines
Recent advances in logic schemes and fabrication processes have renewed interest in
using superconductor electronics for energy-efficient computing and quantum control …
using superconductor electronics for energy-efficient computing and quantum control …
Sorting in memristive memory
Sorting data is needed in many application domains. Traditionally, the data is read from
memory and sent to a general-purpose processor or application-specific hardware for …
memory and sent to a general-purpose processor or application-specific hardware for …
SMART: A heterogeneous scratchpad memory architecture for superconductor SFQ-based systolic CNN accelerators
Ultra-fast & low-power superconductor single-flux-quantum (SFQ)-based CNN systolic
accelerators are built to enhance the CNN inference throughput. However, shift-register …
accelerators are built to enhance the CNN inference throughput. However, shift-register …
Superconducting computing with alternating logic elements
Although superconducting single flux quantum (SFQ) technologies offer the potential for low-
latency operation with energy dissipation of the order of attojoules per gate, their inherently …
latency operation with energy dissipation of the order of attojoules per gate, their inherently …
uSystolic: Byte-crawling unary systolic array
D Wu, J San Miguel - 2022 IEEE International Symposium on …, 2022 - ieeexplore.ieee.org
General matrix multiply (GEMM) is an important operation in broad applications, especially
the thriving deep neural networks. To achieve low power consumption for GEMM …
the thriving deep neural networks. To achieve low power consumption for GEMM …