A review of cryogenic neuromorphic hardware
The revolution in artificial intelligence (AI) brings up an enormous storage and data
processing requirement. Large power consumption and hardware overhead have become …
processing requirement. Large power consumption and hardware overhead have become …
A cryogenic artificial synapse based on superconducting memristor
Spiking neural network (SNN) has emerged as the most biologically accurate approach for
information encoding in neuromorphic computing. Cryogenic neuromorphic hardware …
information encoding in neuromorphic computing. Cryogenic neuromorphic hardware …
[HTML][HTML] Machine learning-powered compact modeling of stochastic electronic devices using mixture density networks
The relentless pursuit of miniaturization and performance enhancement in electronic
devices has led to a fundamental challenge in the field of circuit design and simulation-how …
devices has led to a fundamental challenge in the field of circuit design and simulation-how …
A deep dive into the design space of a dynamically reconfigurable cryogenic spiking neuron
Spiking neural network offers the most bio-realistic approach to mimic the parallelism and
compactness of the human brain. A spiking neuron is the central component of an SNN …
compactness of the human brain. A spiking neuron is the central component of an SNN …
A SPICE-based Framework to Emulate Quantum Circuits with classical LC Resonators
A circuit system consisting of LC-oscillators is mathematically shown to emulate quantum
circuits. Here we develop a SPICE-based framework for emulating universal quantum gates …
circuits. Here we develop a SPICE-based framework for emulating universal quantum gates …
Cryogenic Neuromorphic Hardware
The revolution in artificial intelligence (AI) brings up an enormous storage and data
processing requirement. Large power consumption and hardware overhead have become …
processing requirement. Large power consumption and hardware overhead have become …
Impact of Neuron Firing Rate on Application and Algorithm Performance
Neurons that fire multiple spikes on activation are commonly observed in biological systems,
but the impact of their inclusion in neuromorphic systems has not been thoroughly analyzed …
but the impact of their inclusion in neuromorphic systems has not been thoroughly analyzed …
Quantum Anomalous Hall Effect-Based Variation Robust Binary Content Addressable Memory
Electronic devices can no longer afford dimensional downscaling due to the fundamental
physical limit which motivates device researchers to look for a completely new technological …
physical limit which motivates device researchers to look for a completely new technological …
Ultra-Area-Efficient Cryogenic XNOR Logic Gate with Superconducting Heater Cryotron to Advance High-Performance Computing
Superconducting electronics have garnered significant attention recently due to their
exceptional speed and energy efficiency. They play a vital role in scaling quantum …
exceptional speed and energy efficiency. They play a vital role in scaling quantum …