Low-Energy Consumption RSFQ Circuits Driven by Low Voltages

Tanaka, Masamitsu; Kitayama, Akira; Koketsu, Taiki; Ito, Masato; Fujimaki, Akira

doi:10.1109/tasc.2013.2240555

Cited by 49 publications

(20 citation statements)

References 14 publications

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“…Low-voltage-RSFQ: The first step toward the reduction of P S was the decreasing of the bias voltage. Bias current redistribution between neighboring cells in low-voltage RSFQ (LV-RSFQ) is damped by the introduction of inductances connected in series with the bias resistors in feed lines [ 31 – 35 ]. Unfortunately, this approach limits the clock frequency.…”

Section: Reviewmentioning

confidence: 99%

Beyond Moore’s technologies: operation principles of a superconductor alternative

Soloviev

Klenov

Bakurskiy

et al. 2017

Beilstein J. Nanotechnol.

170

103

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The predictions of Moore’s law are considered by experts to be valid until 2020 giving rise to “post-Moore’s” technologies afterwards. Energy efficiency is one of the major challenges in high-performance computing that should be answered. Superconductor digital technology is a promising post-Moore’s alternative for the development of supercomputers. In this paper, we consider operation principles of an energy-efficient superconductor logic and memory circuits with a short retrospective review of their evolution. We analyze their shortcomings in respect to computer circuits design. Possible ways of further research are outlined.

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Section: Reviewmentioning

confidence: 99%

Beyond Moore’s technologies: operation principles of a superconductor alternative

Soloviev

Klenov

Bakurskiy

et al. 2017

Beilstein J. Nanotechnol.

170

103

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“…Rapid SFQ (RSFQ) circuits are known as high-speed logic circuits operating at clock frequencies exceeding hundreds of gigahertz with low power consumption [7]. Recently, various types of energy-efficient versions have been invented and demonstrated, including low-voltage SFQ [20], efficient RSFQ [21], and energy-efficient SFQ [22] circuits, where static power consumption at the bias resistance was considerably reduced. Because of the low energy consumption of SFQ circuits, they are promising candidates for digital electronics for controlling a quantum computing system.…”

Section: Sfq Circuitsmentioning

confidence: 99%

Superconducting Digital Electronics for Controlling Quantum Computing Systems

Yoshikawa

2019

IEICE Trans. Electron.

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The recent rapid increase in the scale of superconducting quantum computing systems greatly increases the demand for qubit control by digital circuits operating at qubit temperatures. In this paper, superconducting digital circuits, such as single-flux quantum and adiabatic quantum flux parametron circuits are described, that are promising candidates for this purpose. After estimating their energy consumption and speed, a conceptual overview of the superconducting electronics for controlling a multiple-qubit system is provided, as well as some of its component circuits. key words: qubit, quantum computing, single-flux quantum circuit, adiabatic quantum flux parametron circuit, superconducting integrated circuits Nobuyuki Yoshikawa received the B.E., M.E., and Ph.D. degrees in electrical and computer engineering from Yokohama National University, Japan, in 1984Japan, in , 1986Japan, in , and 1989, respectively. Since 1989, he has been with the Department of Electrical and Computer Engineering, Yokohama National University, where he is currently a Professor. His research interests include superconductive devices and their application in digital and analog circuits. He is also interested in single-electron-tunneling devices, quantum computing devices and cryo-CMOS devices. He is a member of

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“…When  amp of 0.45 is used, the error rate of approximately 10 -10 is obtained. Use of stochastic resonance for superconducting circuit operation could contribute to not only reduction in power of the superconducting RAM systems but also stabilization of the low-power SFQ circuits with low critical current Josephson junctions [20].…”

Section: State Transition Of Squid By Stochastic Resonancementioning

confidence: 99%

Power Reduction of Josephson Random Access Memory Using Stochastic Resonance

Kihara

Yamanashi

Yoshikawa

2016

IEEE Trans. Appl. Supercond.

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A superconducting quantum interference device (SQUID) is used as a memory cell in a superconducting Josephson random access memory (RAM) system. In the Josephson RAM, power is mainly consumed by driver circuits, which drive word and bit lines to select the target memory cell. We investigated power reduction of read/write operation of the SQUID memory cell by using a stochastic resonance phenomenon. By using a noise-assisted state transition of the SQUID, the driving current required for read/write operation of the memory cell can be reduced. We investigated optimum bias and noise conditions where stochastic resonance efficiently occurs on the basis of analog circuit simulation that takes influences of thermal noises into account. According to the simulation results, the power dissipation required for read/write operation can be reduced by approximately 20% under the optimum bias and noise conditions when the error rate of read/write operation is 10-10. We designed a 1-bit rf-SQUID memory cell using the AIST 2.5 kA/cm 2 Nb standard process 2, and tested the cell by applying a white noise from the room-temperature instrument. The probability that a datum is written to the memory cell and read-out correctly was measured under various bias and noise conditions. We have experimentally observed stochastic resonance and obtained the error rate of 10-5 when the power dissipation of read/write operation is reduced to 80% compared to the conventional Josephson RAM.

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Low-Energy Consumption RSFQ Circuits Driven by Low Voltages

Cited by 49 publications

References 14 publications

Beyond Moore’s technologies: operation principles of a superconductor alternative

Beyond Moore’s technologies: operation principles of a superconductor alternative

Superconducting Digital Electronics for Controlling Quantum Computing Systems

Power Reduction of Josephson Random Access Memory Using Stochastic Resonance

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