Updated on 2024/10/07

Information

 

写真a

 
CHEN OLIVIA
 
Organization
Faculty of Information Science and Electrical Engineering Department of Advanced Information Technology Associate Professor
School of Engineering Department of Electrical Engineering and Computer Science（Joint Appointment）
Graduate School of Information Science and Electrical Engineering Department of Information Science and Technology（Joint Appointment）
Joint Graduate School of Mathematics for Innovation （Joint Appointment）
Title
Associate Professor
Contact information
メールアドレス
External link

Research Areas

  • Informatics / Computer system

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Electron device and electronic equipment

Degree

  • Ph.D.

Research History

  • University of California, Riverside Department of Electrical and Computer Engineering Visiting Associate Professor

    2024.5 - Present

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    Country：United States

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  • Kyushu University Faculty of Information Science and Electrical Engineering

    2024.4 - Present

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  • Yokohama National University Institute of Advanced Sciences Visiting Associate Professor

    2021.4 - Present

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  • Tokyo City University Department of Computer Sciences Associate Professor

    2021.4 - 2024.3

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Research Interests・Research Keywords

  • Research theme：Beyond CMOS

    Keyword：Beyond CMOS

    Research period： 2024

  • Research theme：EDA

    Keyword：EDA

    Research period： 2024

  • Research theme：Superconducting electronics

    Keyword：Superconducting electronics

    Research period： 2024

  • Research theme：VLSI

    Keyword：VLSI

    Research period： 2024

Awards

  • 2023 Van Duzer Prize Award

    2024.9   IEEE Council on Superconductivity  

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  • 優秀研究賞

    2023.9   東京都市大学  

  • 優秀研究賞

    2023.9   東京都市大学  

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  • 外部資金獲得研究者表彰

    2020.6   横浜国立大学  

  • 米低温学会2019年度若手プロフェッショナル

    2019.3   米低温学会  

  • SNF Contest for Best ASC 2016 Contributed Preprints

    2017.1   IEEE CSC   SNF Contest for Best ASC 2016 Contributed Preprints

  • 日揮・実吉奨学金

    2013.4   日揮・実吉奨学会  

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Papers

  • SuperSIM: A comprehensive benchmarking framework for neural networks using superconductor josephson devices

    Guangxian Zhu, Yirong Kan, Renyuan Zhang, Yasuhiko Nakashima, Wenhui Luo, Naoki Takeuchi, Nobuyuki Yoshikawa, Olivia Chen

    Superconductor Science and Technology   37 ( 9 )   2024.9   （ ISSN:0953-2048 eISSN:1361-6668 ）

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    Publishing type：Research paper (scientific journal)   Publisher：IOP Publishing  

    Abstract

    This paper introduces SuperSIM, a benchmarking framework tailored for neural networks using superconducting Josephson devices, specifically focusing on Adiabatic Quantum Flux Parametron (AQFP) based Processing-in-Memory (PIM) architectures. Our framework offers in-depth architecture-level simulations and performance assessments to enhance AQFP PIM chip development. It supports single and multi-bit PIM designs, various AQFP memory cell types, and diverse clocking methods. Additionally, it integrates circuit-level models for precise energy, delay, and area measurements, ensuring accurate performance evaluation. The framework includes application, device, and architectural layers for versatile configurations and cycle-accurate energy, latency, and area simulations. Experiments validate our framework, with case studies on algorithm and architecture-level features, examining data precision, crossbar size, operating frequency and clocking scheme impacts on computational accuracy, energy use, overall latency and hardware cost.

    DOI： 10.1088/1361-6668/ad6d9e

    Web of Science

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    Other Link： https://iopscience.iop.org/article/10.1088/1361-6668/ad6d9e/pdf

  • Dual-mode neuron design with deterministic and non-deterministic operations using adiabatic superconductor devices

    Tomoharu Yamauchi, Naoki Takeuchi, Nobuyuki Yoshikawa, Hao San, Olivia Chen

    Superconductor Science and Technology   37 ( 9 )   095027 - 095027   2024.8   （ ISSN:0953-2048 eISSN:1361-6668 ）

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    Publishing type：Research paper (scientific journal)   Publisher：IOP Publishing  

    Abstract

    In this research, we unveil an innovative strategy in neuromorphic computing by developing a neuron model tailored for the energy-efficient Adiabatic Quantum-Flux-Parametron (AQFP) logic. This model is particularly aimed at enhancing neural network accelerators. Our design of the AQFP-based neuron operates effectively in both deterministic and non-deterministic modes. In deterministic mode, the design relies on superconducting inductive coupling to activate neurons by comparing the sum of AQFP signal currents against a tunable threshold. For non-deterministic operation, we demonstrate how altering specific circuit parameters can correlate these aggregated currents with the non-deterministic operational range of an AQFP current comparator. We verified its versatility and functionality by fabricating varied circuits and conducting extensive tests, confirming its practical application potential. Our work not only showcases the practical implementation of AQFP in neuromorphic computing but also sets a foundation for future advancements in energy-efficient AI hardware.

    DOI： 10.1088/1361-6668/ad55ce

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    Other Link： https://iopscience.iop.org/article/10.1088/1361-6668/ad55ce/pdf

  • The ATLAS experiment at the CERN Large Hadron Collider: a description of the detector configuration for Run 3

    Amerl M., Filmer E.K., Jackson P., Kong A.X.Y., Potti H., Ruggeri T.A., Ting E.X.L., White M.J., Davis P.M., Gingrich D.M., Lindon J.H., Nishu N., Pinfold J.L., Soluk R., Cakir O., Duran Yildiz H., Kuday S., Turk Cakir I., Sultansoy S., Adam Bourdarios C., Ballansat J., Bellachia F., Berger N., Bouedo T., Cap S., Chevillot N., Costanza F., David P., Delebecque P., Delmastro M., Di Ciaccio L., Dumont Dayot N., Elles S., Fragnaud J.C., Gantel L.M., Goy C., Guillemin T., Hryn'ova T., Jézéquel S., Koletsou I., Lafrasse S., Levêque J., Lewis D.J., Little J.D., Lorenzo Martinez N., Massol N., Perrot G., Poddar G., Rossi E., Sanchez Pineda A., Sauvan E., Selem L., Todorov T., Wingerter-Seez I., Bernardi G., Bomben M., Bouquet R., Di Gregorio G., Li A., Marchiori G., Shen Q., Zhang Y., Chekanov S., Darmora S., Hopkins W.H., Hoya J., Kourlitis E., LeCompte T., Love J., Luz R.J., Metcalfe J., Mete A.S., Paramonov A., Proudfoot J., Trovato M., Van Gemmeren P., Wang R., Zhang J., Armijo C.E., Berlendis S., Cheu E., Cui Z., Ghosh A., Gigliotti K., Johns K.A., Lampl W., Lindley R.E., Loch P., Rutherfoord J.P., Sardain J., Scott G.J., Solis M.A., Tompkins D., Varnes E.W., Walker R.W., Zhou H., Zhou Y., Abdallah J., Bakshi Gupta D., Burghgrave B.

    Journal of Instrumentation   19 ( 5 )   2024.5

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    Publisher：Journal of Instrumentation  

    The ATLAS detector is installed in its experimental cavern at Point 1 of the CERN Large Hadron Collider. During Run 2 of the LHC, a luminosity of ℒ = 2 × 1034 cm-2 s-1 was routinely achieved at the start of fills, twice the design luminosity. For Run 3, accelerator improvements, notably luminosity levelling, allow sustained running at an instantaneous luminosity of ℒ = 2 × 1034 cm-2 s-1, with an average of up to 60 interactions per bunch crossing. The ATLAS detector has been upgraded to recover Run 1 single-lepton trigger thresholds while operating comfortably under Run 3 sustained pileup conditions. A fourth pixel layer 3.3 cm from the beam axis was added before Run 2 to improve vertex reconstruction and b-tagging performance. New Liquid Argon Calorimeter digital trigger electronics, with corresponding upgrades to the Trigger and Data Acquisition system, take advantage of a factor of 10 finer granularity to improve triggering on electrons, photons, taus, and hadronic signatures through increased pileup rejection. The inner muon endcap wheels were replaced by New Small Wheels with Micromegas and small-strip Thin Gap Chamber detectors, providing both precision tracking and Level-1 Muon trigger functionality. Trigger coverage of the inner barrel muon layer near one endcap region was augmented with modules integrating new thin-gap resistive plate chambers and smaller-diameter drift-tube chambers. Tile Calorimeter scintillation counters were added to improve electron energy resolution and background rejection. Upgrades to Minimum Bias Trigger Scintillators and Forward Detectors improve luminosity monitoring and enable total proton-proton cross section, diffractive physics, and heavy ion measurements. These upgrades are all compatible with operation in the much harsher environment anticipated after the High-Luminosity upgrade of the LHC and are the first steps towards preparing ATLAS for the High-Luminosity upgrade of the LHC. This paper describes the Run 3 configuration of the ATLAS detector.

    DOI： 10.1088/1748-0221/19/05/P05063

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  • Buffer and Splitter Insertion for Adiabatic Quantum-Flux-Parametron Circuits

    Fu R., Wang M., Kan Y., Chen O., Yoshikawa N., Yu B., Ho T.Y.

    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems   2024   （ ISSN:02780070 ）

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    Publisher：IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  

    The extremely low-bit energy characteristic of the adiabatic quantum-flux-parametron (AQFP) circuit makes it a promising candidate for highly energy-efficient computing systems. However, by contrast with conventional circuit design, general logic synthesis tools can not make sure that the circuit functionality of generated AQFP circuits is correct. AQFP circuits require buffer and splitter insertion for dataflow synchronization at all clock phases of the circuit and multi-fan-out driving. Notably, buffers and splitters inserted take up much area and delay in AQFP circuits, also causing a significant increase in energy dissipation. To address this problem, this paper analyzes in detail why buffer and splitter insertion is necessary for AQFP circuits and proposes a global optimization framework for this purpose. This framework consists of three parts: (i) logic level assignment, (ii) splitter tree generation, and (iii) buffer insertion. An integer linear programming algorithm is proposed for the logic level assignment to estimate the globally optimal number of inserted buffers and splitters. Subsequently, a dynamic programming-based multi-way search tree generation algorithm is proposed to construct an optimal splitter tree for each net of the input circuit. Moreover, three optimization strategies are proposed to further enhance the effectiveness and efficiency of our framework. Experimental results on ISCAS'85 and EPFL benchmarks demonstrate the effectiveness and efficiency of our proposed framework compared with the state-of-the-art, particularly with significant advantages on large circuits.

    DOI： 10.1109/TCAD.2024.3461573

    Scopus

  • Design and Implementation of Energy-Efficient Binary Neural Networks Using Adiabatic Quantum-Flux-Parametron Logic

    Tomoharu Yamauchi, Hao San, Nobuyuki Yoshikawa, Olivia Chen

    IEEE Transactions on Applied Superconductivity   33 ( 5 )   1 - 5   2023.8   （ ISSN:1051-8223 eISSN:1558-2515 ）

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    Language：Others   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical and Electronics Engineers (IEEE)  

    DOI： 10.1109/tasc.2023.3243180

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  • A Global Optimization Algorithm for Buffer and Splitter Insertion in Adiabatic Quantum-Flux-Parametron Circuits.

    Rongliang Fu, Mengmeng Wang, Yirong Kan, Nobuyuki Yoshikawa, Tsung-Yi Ho, Olivia Chen

    Proceedings of the 28th Asia and South Pacific Design Automation Conference(ASP-DAC)   769 - 774   2023   （ ISBN:9781450397834 ）

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    Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3566097.3567936

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    Other Link： https://dblp.uni-trier.de/rec/conf/aspdac/2023

  • A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits.

    Masoud Zabihi, Yanyue Xie, Zhengang Li, Peiyan Dong, Geng Yuan, Olivia Chen, Massoud Pedram, Yanzhi Wang

    CoRR   abs/2307.12216   2023

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.48550/arXiv.2307.12216

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  • BOMIG: A Majority Logic Synthesis Framework for AQFP Logic.

    Rongliang Fu, Junying Huang, Mengmeng Wang, Nobuyuki Yoshikawa, Bei Yu 0001, Tsung-Yi Ho, Olivia Chen

    Design(DATE)   1 - 2   2023   （ ISBN:9783981926378 ）

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    Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

    DOI： 10.23919/DATE56975.2023.10137075

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    Other Link： https://dblp.uni-trier.de/db/conf/date/date2023.html#FuHWYYHC23

  • Design and Implementation of an FFT-Based Neural Network Accelerator Using Rapid Single-Flux-Quantum Technology.

    Olivia Chen, Yanzhi Wang, Fei Ke, Nobuyuki Yoshikawa

    NEWCAS   1 - 5   2023

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/NEWCAS57931.2023.10198178

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    Other Link： https://dblp.uni-trier.de/db/conf/newcas/newcas2023.html#ChenWKY23

  • Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration.

    Zhengang Li, Yanyue Xie, Peiyan Dong, Olivia Chen, Yanzhi Wang

    DAC   1 - 4   2023

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/DAC56929.2023.10247939

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    Other Link： https://dblp.uni-trier.de/db/conf/dac/dac2023.html#LiXDCW23

  • Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices.

    Olivia Chen, Zhengang Li, Tomoharu Yamauchi, Yanzhi Wang, Nobuyuki Yoshikawa

    AICAS   1 - 5   2023

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/AICAS57966.2023.10168607

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    Other Link： https://dblp.uni-trier.de/db/conf/aicas/aicas2023.html#ChenLYWY23

  • Sigmoid function generator using stochastic adiabatic superconductor logic

    Luo, W., Chen, O., Yoshikawa, N., Takeuchi, N.

    Applied Physics Letters   122 ( 24 )   2023   （ ISSN:0003-6951 ）

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.1063/5.0154712

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  • Scalable true random number generator using adiabatic superconductor logic. International journal

    Wenhui Luo, Olivia Chen, Nobuyuki Yoshikawa, Naoki Takeuchi

    Scientific reports   12 ( 1 )   20039 - 20039   2022.11

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    Language：English   Publishing type：Research paper (scientific journal)  

    Alternative computing such as stochastic computing and bio-inspired computing holds promise for overcoming the limitations of von Neumann computers. However, one difficulty in the implementation of such alternative computing is the need for a large number of random bits at the same time. To address this issue, we propose a scalable true-random-number generating scheme that we refer to as XORing shift registers (XSR). XSR generates multiple uncorrelated true random bitstreams using only two true random number generators as entropy sources and can thus be implemented by a variety of logic devices. Toward superconducting alternative computing, we implement XSR using an energy-efficient superconductor logic family, adiabatic quantum-flux-parametron (AQFP) logic. Furthermore, to demonstrate its performance, we design and observe an AQFP-based XSR circuit that generates four random bitstreams in parallel. The results of the experiment confirm that the bitstreams generated by the XSR circuit exhibit no autocorrelation and that there is no correlation between the bitstreams.

    DOI： 10.1038/s41598-022-24230-5

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  • A Global Buffer and Splitter Insertion Algorithm in AQFP Circuits Reviewed

    Rongliang Fu, Mengmeng Wang, Yirong Kan, Olivia Chen, Nobuyuki Yoshikawa, Tsung-Yi Ho

    Proc. The 24th Workshop on Synthesis And System Integration of Mixed Information Technologies (SASIMI 2022)   85 - 90   2022.10

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    A Global Buffer and Splitter Insertion Algorithm in AQFP Circuits

  • A Neural Network Processing Unit Using Adiabatic Quantum-Flux-Parametron Superconducting Technology Invited Reviewed

    Mengmeng Wang, Olivia Chen, Nobuyuki Yoshikawa

    Proc. of IEEE GCCE 2022   2022.10

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    A Neural Network Processing Unit Using Adiabatic Quantum-Flux-Parametron Superconducting Technology

  • A Study on the Efficient Design of Adders Adiabatic Quantum-Flux-Parametron Circuits Reviewed

    Tomoharu Yamauchi, Hao San, Nobuyuki Yoshikawa, Olivia Chen

    Proc. of IEEE GCCE 2022   2022.10

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    A Study on the Efficient Design of Adders Adiabatic Quantum-Flux-Parametron Circuits

  • A Global Buffer and Splitter Insertion Algorithm in AQFP Circuits Reviewed

    Rongliang Fu, Mengmeng Wang, Yirong Kan, Olivia Chen, Nobuyuki Yoshikawa, Tsung-Yi Ho

    85 - 90   2022.10

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  • A Neural Network Processing Unit Using Adiabatic Quantum-Flux-Parametron Superconducting Technology Invited Reviewed

    Mengmeng Wang, Olivia Chen, Nobuyuki Yoshikawa

    2022.10

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    Authorship：Corresponding author  

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  • A Study on the Efficient Design of Adders Adiabatic Quantum-Flux-Parametron Circuits Reviewed

    2022.10

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    Authorship：Last author,　Corresponding author  

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  • A Study on In-Memory Binary Neural Networks Using Adiabatic Quantum-Flux-Parametron Logic

    Tomoharu Yamauchi, Hao San, Nobuyuki Yoshikawa, Olivia Chen

    Proc. 14th Superconducting SFQ VLSI Workshop (SSV 2022)   2022.9

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    A Study on In-Memory Binary Neural Networks Using Adiabatic Quantum-Flux-Parametron Logic

  • A Study on In-Memory Binary Neural Networks Using Adiabatic Quantum-Flux-Parametron Logic

    2022.9

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  • Design and Implementation of Stochastic Neural Networks Using Superconductor Quantum-Flux-Parametron Devices.

    Olivia Chen, Yanzhi Wang, Renyuan Zhang, Nobuyuki Yoshikawa

    SOCC   1 - 6   2022

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    Authorship：Lead author,　Corresponding author   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/SOCC56010.2022.9908075

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    Other Link： https://dblp.uni-trier.de/db/conf/socc/socc2022.html#ChenWZY22

  • TAAS: a timing-aware analytical strategy for AQFP-capable placement automation.

    Peiyan Dong, Yanyue Xie, Hongjia Li, Mengshu Sun, Olivia Chen, Nobuyuki Yoshikawa, Yanzhi Wang

    DAC   1321 - 1326   2022

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1145/3489517.3530487

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    Other Link： https://dblp.uni-trier.de/db/conf/dac/dac2022.html#DongXLSCYW22

  • Low-Autocorrelation Random Number Generator Based on Adiabatic Quantum-Flux-Parametron Logic Reviewed

    Wenhui Luo, Naoki Takeuchi, Olivia Chen, Nobuyuki Yoshikawa

    IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY   31 ( 5 )   2021.8

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/TASC.2021.3070460

  • Demonstration of a 47.8 GHz High-Speed FFT Processor Using Single-Flux-Quantum Technology Reviewed

    Fei Ke, Olivia Chen, Yanzhi Wang, Nobuyuki Yoshikawa

    IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY   31 ( 5 )   2021.8

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/TASC.2021.3059984

  • Logic Synthesis of Sequential Logic Circuits for Adiabatic Quantum-Flux-Parametron Logic Reviewed

    Ro Saito, Christopher L. Ayala, Olivia Chen, Tomoyuki Tanaka, Tomohiro Tamura, Nobuyuki Yoshikawa

    IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY   31 ( 5 )   2021.8

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/TASC.2021.3061636

  • Towards AQFP-Capable Physical Design Automation Reviewed

    Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin

    2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)   954 - 959   2021.5

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  • Study of clock synchronization for high-level synthesis of adiabatic quantum-flux-parametron sequential logic circuits

    R. Saito, C. L. Ayala, O. Chen, T. Tanaka, T. Tamura, and N. Yoshikawa

    ASC 2020   2020.10

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    Study of clock synchronization for high-level synthesis of adiabatic quantum-flux-parametron sequential logic circuits

  • Improvement for autocorrelation of adiabatic quantum-flux-parametron based random number generator

    Wenhui Luo, Naoki Takeuchi, Olivia Chen, Nobuyuki Yoshikawa

    120 ( 153 )   17 - 20   2020.8

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  • A semi-custom design methodology and environment for implementing superconductor adiabatic quantum-flux-parametron microprocessors Reviewed

    Ayala Christopher L, Saito Ro, Tanaka Tomoyuki, Chen Olivia, Takeuchi Naoki, He Yuxing, Yoshikawa Nobuyuki

    SUPERCONDUCTOR SCIENCE & TECHNOLOGY   33 ( 5 )   2020.5

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    A semi-custom design methodology and environment for implementing superconductor adiabatic quantum-flux-parametron microprocessors

    DOI： 10.1088/1361-6668/ab7ec3

  • Design of SFQ convolutional computation processor for convolutional neural network

    Fei Ke, Ao Ren, Yanzhi Wang, Olivia Chen, Yuki Yamanashi, Nobuyuki Yoshikawa

    119 ( 369 )   11 - 13   2020.1

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  • Methodology for Au- tomating Data Feedback Circuit Synthesis for a 4- bit Counter in Adiabatic Quantum- Flux-Parametron Logic

    R. Saito, C. L. Ayala, O. Chen, T. Tanaka, N. Yoshikawa

    Proc. The 13th Superconducting SFQ VLSI Workshop (SSV) 2020   119 ( 369 )   117 - 119   2020.1

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    Methodology for Automating Data Feedback Circuit Synthesis for a 4-bit Counter in Adiabatic Quantum-Flux-Parametron Logic

  • Development of Majority- Logic-Based Top-Down Environment for Adiabatic Quantum-FluxParametron Circuits

    R. Saito, C. L. Ayala, O. Chen, T. Tanaka, N. Yoshikawa

    Proc. 32nd International Symposium on Superconductivity (ISS2019)   2019.11

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    Development of Majority- Logic-Based Top-Down Environment for Adiabatic Quantum-FluxParametron Circuits

  • A Feedback-Friendly Large-Scale Clocking Scheme for Adiabatic Quantum-Flux-Parametron Logic Datapaths Reviewed

    Takeuchi Naoki, Ayala Christopher Lawrence, Chen Olivia, Yoshikawa Nobuyuki

    IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY   29 ( 5 )   2019.8

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    Language：Japanese   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/TASC.2019.2904480

  • Quality of Results of Adi- abatic Quantum-Flux-Parametron Integrated Circuits Placed by the Genetic Algorithm

    T. Tanaka, C. L. Ayala, O. Chen, R. Saito, N. Yoshikawa

    Proc. International Superconductive Electronics Conference(ISEC) 2019   2019.7

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    Quality of Results of Adi- abatic Quantum-Flux-Parametron Integrated Circuits Placed by the Genetic Algorithm

  • Adiabatic Quantum-Flux-Parametron: Towards Building Extremely Energy-Efficient Circuits and Systems Reviewed

    Olivia Chen, Ruizhe Cai, Yanzhi Wang, Fei Ke, Taiki Yamae, Ro Saito, Naoki Takeuch, Nobuyuki Yoshikawa

    Scientific Reports   Vol.9 ( 1 )   2019.7

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    Adiabatic Quantum-Flux-Parametron: Towards Building Extremely Energy-Efficient Circuits and Systems

    DOI： 10.1038/s41598-019-46595-w

  • Development of Topdown Environment for Adiabatic Quantum Flux Parametron Circuits

    RO SAITO, Christopher AYALA, Olivia CHEN, TOMOYUKI TANAKA, NOBUYUKI YOSHIKAWA

    ( MC-19-001-012/ASC-19-007-018 )   9 - 12   2019.7

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  • Design of Adiabatic Quantum-Flux-Parametron Register Files Using a Top-Down Design Flow Reviewed

    Olivia Chen, Ro Saito, Tomoyuki Tanaka, Christopher L. Ayala, Naoki Takeuchi, Nobuyuki Yoshikawa

    IEEE Transactions on Applied Superconductivity   Vol.29 ( 5 )   2019.3

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    Language：English   Publishing type：Research paper (scientific journal)  

    Design of Adiabatic Quantum-Flux-Parametron Register Files Using a Top-Down Design Flow
    ISSN Information:<br />
    Print ISSN: 1051-8223<br />
    Electronic ISSN: 1558-2515<br />
    CD: 2378-7074

    DOI： 10.1109/TASC.2019.2908277

  • AQFP-SYNTH: A Per- formance Evaluation Framework for Adiabatic Quantum-Flux-Parametron Based Circuits and Systems

    Proc. 12th Superconducting SFQ VLSI Workshop (SSV 2019)

    2019.1

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  • Measurement Result of Adiabatic Quantum-Flux-Parametron 4bit Shifter-Rotator Circuit Designed by Automatic Placementt

    T. Tanaka, C. L. Ayala, O. Chen, R. Saito, N. Yoshikaw

    Proc. The 12th Superconducting SFQ VLSI Workshop (SSV) 2018   2019.1

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  • Execution units for a RISC-based adiabatic quantum-flux-parametron microprocessor data path

    C. L. Ayala, Q. Xu, R. Saito, T. Tanaka, N. Yoshikawa

    Applied Superconductivity Conference (ASC) 2018   2018.10

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  • Design of Adiabatic Quantum-Flux-Parametron Integrated Circuits Using an Automated Placement Tool Based on Genetic Algorithms Reviewed

    T. Tanaka, C.L. Ayala, Q. Xu, R. Saito, N. Yoshikawa

    IEICE Tech. Rep.   118 ( 178 )   53 - 57   2018.8

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    Design of Adiabatic Quantum-Flux-Parametron Integrated Circuits Using an Automated Placement Tool Based on Genetic Algorithms

  • A Large-Scale Design Flow for Adiabatic Quantum-Flux-Parametron Circuits with Retiming and Fan-out Deconstruction Reviewed

    C. L. Ayala, Q. Xu, Y. Murai, R. Saito, N. Takeuchi, Y. Yamanashi, T. Ortlepp, N. Yoshikawa

    Proc. of International Superconductive Electronics Conference (ISEC 2017)   2017.7

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    A Large-Scale Design Flow for Adiabatic Quantum-Flux-Parametron Circuits with Retiming and Fan-out Deconstruction

  • Synthesis flow for cell-based adiabatic quantum-flux-parametron structural circuit generation with HDL back-end verification Reviewed

    Qiuyun Xu, Christopher L. Ayala, Naoki Takeuchi, Yuki Murai, Yuki Yamanashi, Nobuyuki Yoshikawa

    IEEE Transactions on Applied Superconductivity   27 ( 4 )   1301905   2017.6

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/TASC.2017.2662017

  • Performance Analysis of Synthesized Benchmark Circuits Implemented in Adiabatic Superconductor Logic Reviewed

    Q. Xu, R. Saito, Y. Murai, C. L. Ayala, N. Takeuchi, Y. Yamanashi, N. Yoshikawa

    The 16th International Superconductive Electronics Conference (ISEC 2017)   2017.6

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    Language：English   Publishing type：Research paper (other academic)  

    Performance Analysis of Synthesized Benchmark Circuits Implemented in Adiabatic Superconductor Logic

  • 単一磁束量子回路を用いた高性能超伝導演算 システムに関する研究 Reviewed

    徐秋韵

    2017.3

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  • HDL-Based Modeling Approach for Digital Simulation of Adiabatic Quantum Flux Parametron Logic Reviewed

    Qiuyun Xu, Christopher L. Ayala, Naoki Takeuchi, Yuki Yamanashi, Nobuyuki Yoshikawa

    IEEE Transactions on Applied Superconductivity   26 ( 8 )   2016.12

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/TASC.2016.2615123

  • HDL-based Modelling Approach for Adiabatic Superconductor Logic Simulation

    Q. Xu, C.L. Ayala, Y. Yamanashi, N. Yoshikawa

    IEICE Tech. Rep.   115 ( 412 )   11 - 15   2016.1

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    HDL-based Modelling Approach for Adiabatic Superconductor Logic Simulation

  • Timing Extraction for Logic Simulation of VLSI Adiabatic Quantum-Flux-Parametron Circuits

    C.L. Ayala, N. Takeuchi, Q. Xu, T. Narama, Y. Yamanashi, T. Ortlepp, N. Yoshikawa

    IEICE Tech. Rep.   115 ( 242 )   7 - 12   2015.10

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    Timing Extraction for Logic Simulation of VLSI Adiabatic Quantum-Flux-Parametron Circuits

  • High-speed demonstration of bit-serial floating-point adders and multipliers using single-flux-quantum circuits Reviewed

    Xizhu Peng, Qiuyun Xu, Taichi Kato, Yuki Yamanashi, Nobuyuki Yoshikawa, Akira Fujimaki, Naofumi Takagi, Kazuyoshi Takagi, Mutsuo Hidaka

    IEEE Transactions on Applied Superconductivity   25 ( 3 )   1301106   2015.6

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/TASC.2014.2382973

  • Demonstration of bit-serial SFQ-based computing for integer iteration algorithms Reviewed

    Qiuyun Xu, Xizhu Peng, Thomas Ortlepp, Yuki Yamanashi, Nobuyuki Yoshikawa

    IEEE Transactions on Applied Superconductivity   25 ( 3 )   1300704   2015.6

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/TASC.2014.2374454

  • 単一磁束量子回路を用いた3n+1問題のための整数 型ハードウェアアルゴリズムの研究

    徐秋韵

    2014.3

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Books

Presentations

  • Non-Linear Function Generator Using Stochastic Superconductive Circuits

    Olivia Chen, Wenhui Luo, Naoki Takeuchi, Yanzhi Wang, Nobuyuki Yoshikawa

    Applied Superconductivity Conference 2022  2022.10 

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    Event date： 2022.10

    Language：Others  

    Country：Other  

  • Design and Implementation of High-Performance Binary Neural Network Using Adiabatic Quantum- Flux-Parametron Logic

    T. Yamauchi, H. San, N. Yoshikawa, O. Chen

    Applied Superconductivity Conference (ASC 2022)  2022.10 

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    Event date： 2022.10

    Language：Others  

    Country：Other  

    Design and Implementation of High-Performance Binary Neural Network Using Adiabatic Quantum- Flux-Parametron Logic

  • Non-Linear Function Generator Using Stochastic Superconductive Circuits

    Olivia Chen, Wenhui Luo, Naoki Takeuchi, Yanzhi Wang, Nobuyuki Yoshikawa

    Applied Superconductivity Conference 2022  2022.10 

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    Event date： 2022.10

    Presentation type：Oral presentation (general)  

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  • Design and Implementation of High-Performance Binary Neural Network Using Adiabatic Quantum- Flux-Parametron Logic

    T. Yamauchi, H. San, N. Yoshikawa, O. Chen

    2022.10 

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    Event date： 2022.10

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  • A Study on In-Memory Binary Neural Networks Using Adiabatic Quantum-Flux-Parametron Logic

    T. Yamauchi, H. San, N. Yoshikawa, O. Chen

    SSV2022&QCCC2022  2022.9 

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    Event date： 2022.9

    Language：Others  

    Country：Other  

    A Study on In-Memory Binary Neural Networks Using Adiabatic Quantum-Flux-Parametron Logic

  • A Study on In-Memory Binary Neural Networks Using Adiabatic Quantum-Flux-Parametron Logic

    T. Yamauchi, H. San, N. Yoshikawa, O. Chen

    SSV2022&QCCC2022  2022.9 

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    Event date： 2022.9

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  • Implementation of an FFT-Based Convolutional Processing Element Using Single-Flux-Quantum Technology

    Olivia Chen, Fei Ke, Yanzhi Wang, Nobuyuki Yoshikawa

    Applied Superconductivity Conference  2020.10 

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    Event date： 2020.10 - 2020.11

    Language：English  

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    Implementation of an FFT-Based Convolutional Processing Element Using Single-Flux-Quantum Technology

  • Design and Evaluation of a Multi-Output True Random Number Generator Based on Adiabatic Quantum-Flux-Parametron Logic

    W. Luo, N. Takeuchi, O. Chen, N. Yoshikawa

    2021.11 

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    Design and Evaluation of a Multi-Output True Random Number Generator Based on Adiabatic Quantum-Flux-Parametron Logic

  • Multi-Output True Random Number Generator Based on Adiabatic Quantum-Flux-Parametron Logic

    W. Luo, N. Takeuchi, O. Chen, N. Yoshikawa

    15th European Conference on Applied Superconductivity  2021.9 

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    Multi-Output True Random Number Generator Based on Adiabatic Quantum-Flux-Parametron Logic

  • AQFP 回路のための N-Phase Clock- ing に関する研究

    齋藤蕗生, C. L. Ayala, O. Chen, 田中智之, 吉川信行

    電子情報通信学会ソサイエティ大会  2020.9 

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  • AQFP 順序回路設計のための論理合成自動化法

    齋藤蕗生, C. L. Ayala, O. Chen, 田中智之, 田村智大, 吉川信行

    電子情報通信学会総合大会  2020.3 

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  • Adiabatic Quantum- Flux-Parametron Logic のためのフィードバック回路の自動合成

    齋藤 蕗生, C. L. Ayala, O. Chen, 田中 智之, 田村 智大, 吉川 信行

    低温工学・超電導学会研 究発表会  2020.5 

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  • An AQFP-Based Neural Network Accelerator with On-Chip Stochastic Number Generation

    Olivia Chen, Wenhui Luo, Yanzhi Wang, Naoki Takeuchi, Nobuyuki Yoshikawa

    Applied Superconductivity Conference 2020  2020.10 

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    An AQFP-Based Neural Network Accelerator with On-Chip Stochastic Number Generation

  • Glitter チャネル配線アルゴリズム による断熱量子磁束パラメトロン 集積回路の信号線のインダクタンス最適化

    田中智之, C. L. Ayala, O. Chen, 齋藤 蕗生, 吉川信行

    電子情報通信学会総合大会  2020.3 

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  • Low-Autocorrelation Random Number Generator using Adiabatic Quantum-Flux-Parametron Logic

    Wenhui Luo, Naoki Takeuchi, Olivia Chen, Nobuyuki Yoshikawa

    Applied Superconductivity Conference 2020  2020.10 

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    Low-Autocorrelation Random Number Generator using Adiabatic Quantum-Flux-Parametron Logic

  • Low Latency Adiabatic Quantum-Flux-Parametron (AQFP) 3-to-8 Decoder Excited by Microwave Power Dividers

    2020.10 

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  • Adiabatic Quantum Flux Parametron 回路のための TopDown 環境の開発

    齋藤蕗生, C. L. Ayala, O. Chen, 田中智之, 吉川信行

    金属・セラミックス 超電導機器合同研究会  2019.11 

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  • Adiabatic Quantum Flux Parametron 回路のための Majority-Logic TopDown 環境の開発

    齋藤蕗生, C. L. Ayala, O. Chen, 田中智之, 山田剛久, 吉川信行

    電子情報通信学会ソサイエティ大会  2019.9 

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  • Computer Aided Design for Superconducting Electronics Panel Invited International conference

    Olivia Chen

    2019 Design Automation Conference (DAC'2019)  2019.6 

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    Computer Aided Design for Superconducting Electronics Panel

  • 断熱型量子磁束パラメトロン集積 回路の自動配置プログラムによる回路設計とその測定

    田中智之, C. L. Ayala, O. Chen, 齋藤 蕗生, 吉川信行

    超伝導エレクトロニクス研究会  2019.1 

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  • 断熱的量子磁束パラメトロン 16-bit 桁上げ先読み加算器の誤動作原因の解析

    田中智之, C. L. Ayala, O. Chen, 齋藤 蕗生, 吉川信行

    超伝導エレクトロニクス研究会  2019.10 

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  • 断熱量子磁束パラメトロン 16-bit 桁上げ先読み加算器の設計と評価

    田中智之, C. L. Ayala, O. Chen, 齋藤 蕗生, 吉川信行

    電子情報通信学会ソサイエティ大会  2019.6 

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  • A feedback-friendly large-scale clocking scheme for adiabatic quantum-flux-parametron logic datapaths

    N. Takeuchi, C.L. Ayala, Q. Xu, N. Yoshikawa

    2018 Applied Superconductivity Conference (ASC 2018)  2018.10 

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    A feedback-friendly large-scale clocking scheme for adiabatic quantum-flux-parametron logic datapaths

  • ColdFlux Superconducting EDA and TCAD Tools Project: Overview and Progress Invited

    C. Fourie, M. Botha, P. Febvre, C.L. Ayala, Q. Xu, N. Yoshikawa, E. Patrick, M. Law, Y. Wang, M. Annavaram, P. Beerel, S. Gupta, S. Nazarian, M. Pedram

    2018 Applied Superconductivity Conference (ASC 2018)  2018.11 

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    ColdFlux Superconducting EDA and TCAD Tools Project: Overview and Progress

  • Comprehensive Automated Timing Extraction Methodology for Characterizing an Adiabatic Quantum-Flux-Parametron Logic Cell Library

    C.L. Ayala, O. Chen, Q. Xu, N. Yoshikawa

    IEICE Society Conference 2018  2018.9 

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    Comprehensive Automated Timing Extraction Methodology for Characterizing an Adiabatic Quantum-Flux-Parametron Logic Cell Library

  • Design and Evaluation of Deep Learning Accelerator using Superconductor Logic Families

    Q. Xu, Y. Wang, N. Takeuchi, N. Yoshikawa

    IEICE Society Conference 2018  2018.9 

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    Design and Evaluation of Deep Learning Accelerator using Superconductor Logic Families

  • Design and implementation of an extremely energy-efficient deep learning accelerator using superconducting logic

    Q. Xu, X. Ma, Y. Wang, N. Takeuchi, N. Yoshikawa

    2018 Applied Superconductivity Conference (ASC 2018)  2018.11 

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    Design and implementation of an extremely energy-efficient deep learning accelerator using superconducting logic

  • Design of Adiabatic-Quantum-Flux-Parametron Register Files Using a Top-Down Design Flow

    Q. Xu, T. Tanaka, C.L. Ayala, N. Takeuchi, N. Yoshikawa

    2018 Applied Superconductivity Conference (ASC 2018)  2018.11 

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    Design of Adiabatic-Quantum-Flux-Parametron Register Files Using a Top-Down Design Flow

  • Execution units for a RISC-based adiabatic quantum-flux-parametron microprocessor datapath

    C.L. Ayala, Q. Xu, R. Saito, T. Tanaka, N. Takeuchi, Y. Yamanashi, N. Yoshikawa

    2018 Applied Superconductivity Conference (ASC 2018)  2018.10 

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    Execution units for a RISC-based adiabatic quantum-flux-parametron microprocessor datapath

  • Fabrication of Adiabatic Quantum-Flux-Parametron Integrated Circuits Using an Automatic Placement Tool Based on Genetic Algorithms

    Tanaka, C.L. Ayala, Q. Xu, R. Saito, N. Yoshikawa

    2018 Applied Superconductivity Conference (ASC 2018)  2018.11 

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    Fabrication of Adiabatic Quantum-Flux-Parametron Integrated Circuits Using an Automatic Placement Tool Based on Genetic Algorithms

  • Superconducting microwave delay network for adiabatic quantum-flux-parametron logic

    Y. He, N. Takeuchi, Q. Xu, N. Yoshikawa

    2018 Applied Superconductivity Conference (ASC 2018)  2018.10 

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    Superconducting microwave delay network for adiabatic quantum-flux-parametron logic

  • Young Scientist Plenaries Invited

    Qiuyun (Olivia) Xu

    2018 Applied Superconductivity Conference (ASC 2018)  2018.10 

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    Young Scientist Plenaries

  • 遺伝的アルゴリズムを用いた断熱型量子磁束パラメトロン集積回路の自動設計

    田中智之, Christopher Ayala, 徐 秋韵, 吉川信行

    2018.9 

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    Language：English  

    Country：Other  

  • 遺伝的アルゴリズムを用いた断熱 型量子磁束パラメトロン集積回路の自動設計

    田中智之, C. L. Ayala, O. Chen, 齋藤 蕗生, 吉川信行

    電子情報通信学会ソサイエティ大会  2018.9 

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    Language：Others  

    Country：Other  

  • 遺伝的アルゴリズムによる自動配 置ツールを用いた断熱型量子磁束パラメトロン集積回路の設計

    田中智之, C. L. Ayala, O. Chen, 齋藤 蕗生, 吉川信行

    超伝導エレクトロニクス研究会  2018.8 

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  • Current Progress in Adiabatic Quantum Flux Parametron Invited

    N. Takeuchi, C. Ayala, Q. Xu, Y. Yamanashi, N. Yoshikawa

    The 30th International Symposium on Superconductivity (ISS 2017)  2017.12 

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    Current Progress in Adiabatic Quantum Flux Parametron

  • Design and implementation of AQFP-based register files for an AQFP 4-bit RISC microprocessor prototype

    Q. Xu, C. L. Ayala, N. Takeuchi, N. Yoshikawa

    2017 Europe Conference on Applied Superconductivity (EUCAS 2017)  2017.9 

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    Design and implementation of AQFP-based register files for an AQFP 4-bit RISC microprocessor prototype

  • A Review of Current Progress of Adiabatic Quantum-Flux-Parametron Logic

    N. Takeuchi, C. L. Ayala, Q. Xu, F. China, N. Tsuji, T. Ando, Y. Murai, K. Fang, T. Ortlepp, Y. Yamanashi, N. Yoshikawa

    The 9th Superconducting SFQ VLSI Workshop (SSV2016)  2016.8 

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    A Review of Current Progress of Adiabatic Quantum-Flux-Parametron Logic

  • Recent Progress towards Energy-Efficient Microprocessors Using AQFP Logic Invited

    N. Takeuchi, C. Ayala, Q. Xu, F. China, N. Tsuji, T. Narama, T. Ortlepp, Y. Yamanashi, N. Yoshikawa

    The 5th International Conference on Superconductivity and Magnetism (ICSM 2016)  2016.4 

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    Recent Progress towards Energy-Efficient Microprocessors Using AQFP Logic

  • Synthesis Flow for Cell-Based Adiabatic Quantum-Flux-Parametron Structural Circuit Generation with HDL Backend Verification

    Q. Xu, C. L. Ayala, Y. Murai, N. Takeuchi, Y. Yamanashi, T. Ortlepp, N. Yoshikawa

    2016 Applied Superconductivity Conference (ASC 2016)  2016.8 

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    Synthesis Flow for Cell-Based Adiabatic Quantum-Flux-Parametron Structural Circuit Generation with HDL Backend Verification

  • Creation of a Logic Simulation Model for Adiabatic Quantum Flux Parametron Logic

    Q. Xu, C. L. Ayala, N. Takeuchi, Y. Yamanashi, T. Ortlepp, N. Yoshikawa

    2015 Europe Conference on Applied Superconductivity (EUCAS 2015)  2015.8 

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    Creation of a Logic Simulation Model for Adiabatic Quantum Flux Parametron Logic

  • High-speed Demonstration of Bit-serial SFQ-based Computing for Integer Iteration Algorithms

    Q. Xu, Y. Yamanashi, T. Ortlepp, N. Yoshikawa

    Cryogenics and Superconductivity Society of Japan  2014.12 

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    High-speed Demonstration of Bit-serial SFQ-based Computing for Integer Iteration Algorithms

  • High-speed Demonstration of a Single-Flux-Quantum Processor for Solving the 3n + 1 Problem,

    Q. Xu, Y. Yamanashi, T. Ortlepp, N. Yoshikawa

    27th International Symposium on Superconductivity  2014.11 

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    High-speed Demonstration of a Single-Flux-Quantum Processor for Solving the 3n + 1 Problem,

  • Demonstration of bit-serial SFQ-based computing for integer iteration algorithms

    Q. Xu, Y. Yamanashi, T. Ortlepp, N. Yoshikawa

    2014 Applied Superconductivity Conference (ASC 2014)  2013.8 

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    Demonstration of bit-serial SFQ-based computing for integer iteration algorithms

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Professional Memberships

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Committee Memberships

  • 2024 Design, Automation and Test in Europe Conference (DATE) TPC Member  

    2023.8 - Present   

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  • 2024 Applied Superconductivity Conference (ASC24) Program Committee Member  

    2023.8 - Present   

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  • IEICE 超伝導エレクトロニクス(SCE)研究専門委員会 委員  

    2022.6 - Present   

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  • IEEE GCCE Session Co-chair  

    2022.4   

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  • 2022 Great Lakes Symposium on VLSI Technical Program Committee Member  

    2022.2 - 2022.3   

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    Committee type：Academic society

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  • 2022 Applied Superconductivity Conference Program Committee Member  

    2021 - 2022   

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  • 2021 Great Lakes Symposium on VLSI Technical Program Committee Member  

    2021   

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  • 第99回 低温工学・超電導学会研究発表会運営委員会  

    2020.3   

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    Committee type：Academic society

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  • 2020 Great Lakes Symposium on VLSI Technical Program Committee Member  

    2020   

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  • European Conference on Applied Superconductivity Session Moderator  

    2019.9   

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  • 2019 国際超伝導電子大会   プログラム委員会委員  

    2019.7   

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    Committee type：Academic society

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Research Projects

  • High-Performance Machine Learning Computing Using Non-deterministic Superconducting Circuits

    Grant number：23K28055  2023.4 - 2028.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Grant type：Scientific research funding

    CiNii Research

  • 高性能非ノイマン型超伝導SoCの開発

    Grant number：JPMJFR226W  2023 - 2029

    日本学術振興会  科学研究費助成事業  基盤研究(C)

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    Authorship：Principal investigator  Grant type：Scientific research funding

  • 非決定性超伝導回路を用いた高性能機械学習計算基盤の創出

    Grant number：23H03365  2023 - 2027

    日本学術振興会  科学研究費助成事業  基盤研究(C)

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    Grant type：Scientific research funding

  • Construction of stochastic superconductor neural networks towards ultra-low-power machine learning

    Grant number：22H00220  2022 - 2026

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

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    Grant type：Scientific research funding

    CiNii Research

  • アルゴリズム・ソフトウェア・ハードウェアの融合による超低電力ニューラルネット ワークの構築

    2019 - 2022

    日本学術振興会  科学研究費助成事業  基盤研究(C)

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    Grant type：Scientific research funding

  • 超伝導断熱磁束量子パラメトロンを用いた低電力深層学習専用チップの開発

    2019 - 2021

    日本学術振興会  科学研究費助成事業  基盤研究(C)

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    Grant type：Scientific research funding

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