Demonstration of 10k Gate-Scale Adiabatic-Quantum-Flux-Parametron Circuits

Narama, Tatsuya; Yamanashi, Yuki; Takeuchi, Naoki; Ortlepp, Thomas; Yoshikawa, Nobuyuki

doi:10.1109/isec.2015.7383438

Cited by 14 publications

(9 citation statements)

References 13 publications

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“…One such effort that should be mentioned is using another family of logic, AQFP, to develop adders with the goal of eventually building a processor. This work has also shown promise and has had some successful demonstrations (Inoue et al, 2013;Inoue et al, 2015;Narama et al, 2015).…”

Section: Superconducting Digital Electronics Developmentmentioning

confidence: 89%

BrainFreeze: Expanding the Capabilities of Neuromorphic Systems Using Mixed-Signal Superconducting Electronics

Tschirhart

Segall

2021

Front. Neurosci.

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Superconducting electronics (SCE) is uniquely suited to implement neuromorphic systems. As a result, SCE has the potential to enable a new generation of neuromorphic architectures that can simultaneously provide scalability, programmability, biological fidelity, on-line learning support, efficiency and speed. Supporting all of these capabilities simultaneously has thus far proven to be difficult using existing semiconductor technologies. However, as the fields of computational neuroscience and artificial intelligence (AI) continue to advance, the need for architectures that can provide combinations of these capabilities will grow. In this paper, we will explain how superconducting electronics could be used to address this need by combining analog and digital SCE circuits to build large scale neuromorphic systems. In particular, we will show through detailed analysis that the available SCE technology is suitable for near term neuromorphic demonstrations. Furthermore, this analysis will establish that neuromorphic architectures built using SCE will have the potential to be significantly faster and more efficient than current approaches, all while supporting capabilities such as biologically suggestive neuron models and on-line learning. In the future, SCE-based neuromorphic systems could serve as experimental platforms supporting investigations that are not feasible with current approaches. Ultimately, these systems and the experiments that they support would enable the advancement of neuroscience and the development of more sophisticated AI.

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Section: Superconducting Digital Electronics Developmentmentioning

confidence: 89%

BrainFreeze: Expanding the Capabilities of Neuromorphic Systems Using Mixed-Signal Superconducting Electronics

Tschirhart

Segall

2021

Front. Neurosci.

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“…11(a). We have demonstrated an AQFP circuit with approximately 20,000 Josephson junctions using excitation currents of 4.8 mA [92]. Low-current drive is important for cryocooler implementation because the amount of supply currents is limited by the cooling power.…”

Section: Single-photon Image Sensormentioning

confidence: 99%

Adiabatic Quantum-Flux-Parametron: A Tutorial Review

Takeuchi

Yamae

Ayala

et al. 2022

IEICE Trans. Electron.

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The adiabatic quantum-flux-parametron (AQFP) is an energy-efficient superconductor logic element based on the quantum flux parametron. AQFP circuits can operate with energy dissipation near the thermodynamic and quantum limits by maximizing the energy efficiency of adiabatic switching. We have established the design methodology for AQFP logic and developed various energy-efficient systems using AQFP logic, such as a low-power microprocessor, reversible computer, single-photon image sensor, and stochastic electronics. We have thus demonstrated the feasibility of the wide application of AQFP logic in future information and communications technology. In this paper, we present a tutorial review on AQFP logic to provide insights into AQFP circuit technology as an introduction to this research field. We describe the historical background, operating principle, design methodology, and recent progress of AQFP logic.

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“…Together with the AQFP latch [ 66 ] these blocks enable the design of an adiabatic circuit of arbitrary complexity. Recently, a 10000 gate-scale AQFP circuit was reported [ 70 ].…”

Section: Reviewmentioning

confidence: 99%

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

Soloviev

Klenov

Bakurskiy

et al. 2017

Beilstein J. Nanotechnol.

164

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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Demonstration of 10k Gate-Scale Adiabatic-Quantum-Flux-Parametron Circuits

Cited by 14 publications

References 13 publications

BrainFreeze: Expanding the Capabilities of Neuromorphic Systems Using Mixed-Signal Superconducting Electronics

BrainFreeze: Expanding the Capabilities of Neuromorphic Systems Using Mixed-Signal Superconducting Electronics

Adiabatic Quantum-Flux-Parametron: A Tutorial Review

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

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