Asynchronous Dynamic Single-Flux Quantum Majority Gates

Krylov, Gleb; Friedman, Eby G.

doi:10.1109/tasc.2020.2978428

Cited by 37 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A resistance on the order of a few ohms produces a linear leakage characteristic, the timing of which can be tuned by changing the size of the resistor. Utilizing the dynamic SFQ (DSFQ) leakage mechanism, additional JJs may be introduced into the loop to provide a faster reset of the circulating current [40,41].…”

Section: Leaky Integrate-and-fire Neuronsmentioning

confidence: 99%

Harnessing stochasticity for superconductive multi-layer spike-rate-coded neuromorphic networks

Edwards,

Krylov,

Friedman

et al. 2024

Neuromorph. Comput. Eng.

Self Cite

View full text Add to dashboard Cite

Conventional semiconductor-based integrated circuits are gradually approaching fundamental scaling limits. Many prospective solutions have recently emerged to supplement or replace both the technology on which basic devices are built and the architecture of data processing.Neuromorphic circuits are a promising approach to computing where techniques used by the brain to achieve high efficiency are exploited. Many existing neuromorphic circuits rely on unconventional and useful properties of novel technologies to better mimic the operation of the brain.One such technology is single flux quantum (SFQ) logic -- a cryogenic superconductive technology in which the data are represented by quanta of magnetic flux (fluxons) produced and processed by Josephson junctions embedded within inductive loops.The movement of a fluxon within a circuit produces a quantized voltage pulse (SFQ pulse), resembling a neuronal spiking event. These circuits routinely operate at clock frequencies of tens to hundreds of gigahertz, making SFQ a natural technology for processing high frequency pulse trains.This work harnesses thermal stochasticity in superconducting synapses to emulate stochasticity in biological synapses in which the synapse probabilistically propagates or blocks incoming spikes. The authors also present neuronal, fan-in, and fan-out circuitry inspired by the literature that seamlessly cascade with the synapses for deep neural network construction. Synapse weights and neuron biases are set with bias current, and the authors propose multiple mechanisms for training the network and storing weights. The network primitives are successfully demonstrated in simulation in the context of a rate-coded multi-layer XOR neural network which achieves a wide classification margin. The proposed methodology is based solely on existing SFQ technology and does not employ unconventional superconductive devices or semiconductor transistors, making this proposed system an effective approach for scalable cryogenic neuromorphic computing.

show abstract

Section: Leaky Integrate-and-fire Neuronsmentioning

confidence: 99%

Harnessing stochasticity for superconductive multi-layer spike-rate-coded neuromorphic networks

Edwards,

Krylov,

Friedman

et al. 2024

Neuromorph. Comput. Eng.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Energy-efficient SFQ (eSFQ and ERFSQ) [237] and low-voltage RSFQ (LV-RSFQ) [238] employ specific bias networks and low supply voltages respectively to reduce the power consumption. Dynamic flux single quantum (DSFQ) logic [239] introduces self-resetting gates that ease the clocking requirements. Various realizations of ALUs have been reported, with deeppipelined, wave-pipelined and asynchronous operation.…”

Section: B Superconducting Electronics In Classical Pipelined Computingmentioning

confidence: 99%

Advances in Quantum Computation and Quantum Technologies: A Design Automation Perspective

Micheli

Jiang

Rand

et al. 2022

IEEE J. Emerg. Sel. Topics Circuits Syst.

View full text Add to dashboard Cite

Universal and fault-tolerant quantum computation is a promising new paradigm that may efficiently conquer difficult computation tasks beyond the reach of classical computation. It motivates the development of various quantum technologies. The rapid progress of quantum technologies accelerates the realization of quantum computers. In this paper, we survey the recent advances in quantum technologies and quantum computation from the design automation perspective.

show abstract

“…S UPERCONDUCTING digital computing is a promising alternative to CMOS due to its ability to operate at several tens of GHz at a higher energy efficiency than CMOS [1], [2]. However, the full potential of superconducting digital computing is hindered by three major factors: First, the majority of superconducting digital rapid single flux quantum (RSFQ) 1 gates such as AND, OR, and XOR are synchronous, increasing the clock tree overhead and making scaling up challenging due to the need for precise timing [3], [4], [5]. Second, superconducting technology suffers from limited device density [6].…”

Section: Introductionmentioning

confidence: 99%

“…In fact, recent RSFQ chips were restricted to just a few tens of thousands of Josephson junctions (JJs), the fundamental switching device in superconducting computing. This limited density is exacerbated by the need of splitters which are interconnection cells that implement fanout, because of the severely limited inherent fanout of gates [3], [4], [5]. Third, superconducting memory is particularly area expensive [7].…”

Section: Introductionmentioning

confidence: 99%

PaST-NoC: A Packet-Switched Superconducting Temporal NoC

Lyles

Gonzalez-Guerrero

Bautista

2023

IEEE Trans. Appl. Supercond.

View full text Add to dashboard Cite

Temporal computing promises to mitigate the stringent area constraints and clock distribution overheads of traditional superconducting digital computing. To design a scalable, area-and power-efficient superconducting network on chip (NoC), we propose packet-switched superconducting temporal NoC (PaST-NoC). PaST-NoC operates its control path in the temporal domain using race logic (RL), combined with bufferless deflection flow control to minimize area. Packets encode their destination using RL and carry a collection of data pulses that the receiver can interpret as pulse trains, RL, serialized binary, or other formats. We demonstrate how to scale up PaST-NoC to arbitrary topologies based on 2×2 routers and 4×4 butterflies as building blocks. As we show, if data pulses are interpreted using RL, PaST-NoC outperforms state-of-the-art superconducting binary NoCs in throughput per area by as much as 5× for long packets.

show abstract

Asynchronous Dynamic Single-Flux Quantum Majority Gates

Cited by 37 publications

References 35 publications

Harnessing stochasticity for superconductive multi-layer spike-rate-coded neuromorphic networks

Harnessing stochasticity for superconductive multi-layer spike-rate-coded neuromorphic networks

Advances in Quantum Computation and Quantum Technologies: A Design Automation Perspective

PaST-NoC: A Packet-Switched Superconducting Temporal NoC

Contact Info

Product

Resources

About