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Related papers: New Memory Concept for Superconducting Electronics

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As computing power demands continue to grow, superconducting electronics present an opportunity to reduce power consumption by increasing the energy efficiency of digital logic and memory. A key milestone for scaling this technology is the…

With the ever-increasing energy need to process big data, the realization of low-power computing technologies, such as superconducting logic and memories, has become a pressing issue. Developing fast and non-volatile superconducting memory…

Superconductivity · Physics 2022-08-31 Remko Fermin , Naor Scheinowitz , Jan Aarts , Kaveh Lahabi

Arrays of Vortex Transitional (VT) memory cells with functional density up to $1 Mbit/cm^2$ have been designed, fabricated, and successfully demonstrated. This progress is due to recent advances in design optimization and in superconductor…

Applied Physics · Physics 2019-05-22 Vasili K. Semenov , Yuri A. Polyakov , Sergey K. Tolpygo

A new spintronic nonvolatile memory cell analogous to 1T DRAM with non-destructive read is proposed. The cells can be used as neural computing units. A dual-circuit neural network architecture is proposed to leverage these devices against…

Emerging Technologies · Computer Science 2019-05-31 Andrew W. Stephan , Qiuwen Lou , Michael Niemier , X. Sharon Hu , Steven J. Koester

Josephson junctions are currently used as base elements of superconducting logic systems. Long enough junctions subject to magnetic field host quantum phase 2{\pi}-singularities - Josephson vortices. Here we report the realization of the…

Superconductor electronics (SCE) is a promising complementary and beyond CMOS technology. However, despite its practical benefits, the realization of SCE logic faces a significant challenge due to the absence of dense and scalable…

Superconductivity · Physics 2024-12-05 Mustafa Altay Karamuftuoglu , Beyza Zeynep Ucpinar , Sasan Razmkhah , Massoud Pedram

A superconducting loop stores persistent current without any ohmic loss, making it an ideal platform for energy efficient memories. Conventional superconducting memories use an architecture based on Josephson junctions (JJs) and have…

The co-location of memory and processing is a core principle of neuromorphic computing. A local memory device for synaptic weight storage has long been recognized as an enabling element for large-scale, high-performance neuromorphic…

Applied Physics · Physics 2023-11-13 Bryce A. Primavera , Saeed Khan , Richard P. Mirin , Sae Woo Nam , Jeffrey M. Shainline

Superconducting devices, which rely on modulating a complex superconducting order parameter in a Josephson junction, have been developed for low power logic operations, high-frequency oscillators, and exquisite magnetic field sensors.…

Superconductivity · Physics 2015-06-17 Burm Baek , William H. Rippard , Samuel P. Benz , Stephen E. Russek , Paul D. Dresselhaus

Superconducting electronics represents a promising technology, offering not only efficient integration with quantum computing systems, but also the potential for significant power reduction in high-performance computing. Nonetheless, the…

Superconductivity · Physics 2025-03-24 Leon Ruf , Angelo Di Bernardo , Elke Scheer

The demand for low-dissipation nanoscale memory devices is as strong as ever. As Moore's Law is staggering, and the demand for a low-power-consuming supercomputer is high, the goal of making information processing circuits out of…

Superconductivity · Physics 2017-07-18 Andrew Murphy , Dmitri Averin , Alexey Bezryadin

CMOS-based microelectronics are limited to ~150{\deg}C and therefore not suitable for the extreme high temperatures in aerospace, energy, and space applications. While wide bandgap semiconductors can provide high-temperature logic,…

Superconductor digital electronics using Josephson junctions as ultrafast switches and magnetic-flux encoding of information was proposed over 30 years ago as a sub-terahertz clock frequency alternative to semiconductor electronics based on…

Superconductivity · Physics 2016-06-03 Sergey K. Tolpygo

Superconducting computing promises enhanced computational power in both classical and quantum approaches. Yet, scalable and fast superconducting memories are not implemented. Here, we propose a fully superconducting memory cell based on the…

Mesoscale and Nanoscale Physics · Physics 2021-09-03 N. Ligato , E. Strambini , F. Paolucci , F. Giazotto

Any large-scale spiking neuromorphic system striving for complexity at the level of the human brain and beyond will need to be co-optimized for communication and computation. Such reasoning leads to the proposal for optoelectronic…

Emerging Technologies · Computer Science 2021-06-29 Bryce A. Primavera , Jeffrey M. Shainline

The same as in microprocessor fabrication, nonvolatile memory devices are facing the problem in device size scaling down, such as large leakage current density. High-k materials are considered to solve it. However, simply replacing low-k to…

Mesoscale and Nanoscale Physics · Physics 2015-08-20 Jian Cui

We report the fabrication and testing, at 4.2 K, of an SISFS device, where S, F, and I denote a superconductor (Nb), a ferromagnetic material (permalloy), and an insulator (AlOx), respectively. The F layer covers about one half of the top…

Superconductivity · Physics 2023-07-06 Ivan Nevirkovets , Oleg Mukhanov

Due to the ever increasing power and cooling requirements of large-scale computing and data facilities, there is a worldwide search for low-power alternatives to CMOS. One approach under consideration is superconducting computing based on…

Superconductivity · Physics 2019-10-04 Norman O. Birge , Manuel Houzet

Due to low power consumption and high-speed performance, superconductor circuit technology has emerged as an attractive and compelling post-CMOS technology candidate. However, the design of dense memory circuits presents a significant…

Emerging Technologies · Computer Science 2023-10-13 Beyza Zeynep Ucpinar , Yasemin Kopur , Mustafa Altay Karamuftuoglu , Sasan Razmkhah , Massoud Pedram

The demand for high-density data storage with ultrafast accessibility motivates the search for new memory implementations. Ideally such storage devices should be robust to input error and to unreliability of individual elements; furthermore…

Disordered Systems and Neural Networks · Physics 2007-05-23 P. Chandra , L. B. Ioffe
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