JQub has multiple openings for Ph.D. students in Spring 24 and Fall 24 [details].
Lab Introduction:
JQub was established at George Mason University in Fall 2021. The team focuses on the hardware/software co-design for the broadly computing systems. The target application ranges from computer vision, natural language processing to medical-related (e.g., imaging and drug discovery) AI applications. The target hardware platform ranges from classical computing (i.e., FPGAs, ASICs, Computing-in-Memory, Mobile Phones, etc.) to quantum computing. The open projects from JQub can be accessed from GitHub. The team is open for collaboration from both academic and industry. For contacting, please email to jqub.gmu@gmail.com.
Director:
Weiwen Jiang [Bio] [CV]
Assistant Professor
Electrical and Computer Engineering (ECE)
College of Engineering and Computing (CEC)

Address: Room 3247, Nguyen Engineering Building, Virginia, 22030
Campus: Fairfax
Email: wjiang8@gmu.edu
Phone: (703)993-5083
Research Interests: HW/SW Co-Design
    Hardware Related
    • Quantum Computing
    • Embedded Systems
    • Domain-Specific Computing

    Software Related
    • Neural Networks
    • AutoML
Lab News:
2024/04    NSF Cybertraining funded Quantum Pathways Workshop has been successfully given at Bowie State University.
2024/02    The very first quantum geophysic research (led by PI Jiang) is accepted by DAC2024. Thanks our collaborator Prof. Youzuo Lin
2024/02    One research on using diffusion model for geophysic(led by PI Yang) is accepted by DAC2024. Congrats to Junhuan and Yi.
2024/01    Invited as Track Co-Chair at IEEE QuantumWeek 2024.
2023/12    One paper is accepted by ICASSP. Congrats to Jinyang
2023/09    QuPAD won the Best Paper Award of IEEE QuantumWeek 2023 (as the Second Place in Track)!
2023/08    PI Jiang received NSF Cybertraining fund as lead PI. Thanks collaborators Jessica Rosenberg, Mingzhen Tian and NSF.
2023/08    PI Yang received the second-year continuous fund for Fairness in AI-Assisted Mobile Healthcare from NIH as site PI.
2023/07    PI Jiang received best poster award from ORNL's quantum computing user forum. [Details]
2023/07    PI Jiang received a fund on Quantum Learning from NSF OAC core program as lead PI. Thanks collaborator Qiang Guan and NSF.
2023/07    Invited for testimonial video for QuantumWeek 2023.
2023/06    Four papers are accepted by QuantumWeek 2023. Congrats to Zhirui, Jinyang, Zhepeng.
2023/04    Proposed Quantum System Stability and Reproducibility Workshop (StableQ) will be held at QuantumWeek 2023.
2023/02    Three papers are accepted by DAC2023. Congrats to Yi, Junhuan, Zhirui
2023/02    Invited as Track Co-Chair at IEEE QuantumWeek 2023.
2023/01    Student Zhepeng Wang Joined LANL as research intern!
2022/08    Won the Best Demonstration (Second Place) at the 32nd ACM SIGDA University Demonstration. Congrats to Daniel. [Details]
2022/07    The Quantum Pluse Learning is accepted by QuantumWeek! Congrats. to Zhiding.
2022/07    The first thoroughly study on Quantum Neural Network Compression is online now!
2022/06    Student Zhepeng Wang Received QSEC Graduate Research Fellowship. Thanks QSEC and Congrats to Zhepeng!
2022/06    Received ORIEI Seed Funding 2022. Thanks Office of Research Innovation and Economic Impact (ORIEI) and collaborators!
2022/06    One paper on AutoML based brain inspired computing for HW will be presented at ISVLSI 2022, Congrats. to Junhuan and Venkat!
2022/06    One paper on AutoML based brain inspired computing has been accepted by AutoML-Conf 2022, Congrats. to Junhuan!
2022/06    One paper on Quantum Visualization has been accepted by IEEE VIS 2022, Thanks collaborators!
2022/04    Received QSEC Seed Fund 2022. Thanks QSEC!
2022/03    Course ECE 618 got support from IBM Quantum Educators Program.
2022/03    Inivted Talk in "The best of EDA research in 2021" at Design Automation WebiNar (DAWN) by ACM SIGDA and IEEE CEDA [Slides]
2022/02    The first Framework of NAS for Fair Neural Architectures (FaHaNa) is accepted by DAC 2022. Congrats. to Yi and Junhuan.
2022/02    One paper on FPGA-based Transformer is accepted by DAC 2022. Thanks collaborators Hongwu and Caiwen from UConn.
2021/12    Proposal on Intelligent Quantum Sensing is funded by NSEC at Los Alamos
2021/12    GMU-ND-PITT-UNM Team won the Best Demonstration (First Place) at the 31st ACM SIGDA University Demonstration [Details]
2021/10    The first NAS-based HW/SW Co-Design Framework won the Best Paper Award of IEEE TCAD 2021! [Details]
2021/10    Invited to serve as a TPC member in DAC 2022.
2021/09    Several papers will be published at IEEE/ACM ICCAD, Congrats. to Zhepeng, Zhiding, Yi, and collaborators!
2021/08    Invited to serve as Guest Editor in Electronics for the Special Issue "Quantum Machine Learning: Theory, Methods and Applications".
2021/08    Zhepeng and Zhiding received the Certificate of Quantum Excellence from IBM. Congrats!
2021/08    Invited to serve as a Program Committee (PC) Member in AAAI 2022.
2021/08    One paper is accepted by ICCV 2021.
2021/08    A special session proposal with Prof. Caiwen Ding (UConn) on Drug Discovery has been accepted by IEEE/ACM ICCAD
2021/08    A tutorial proposal on QuantumFlow has been accepted by IEEE/ACM ICCAD
2021/07    CFP: Weiwen will organize E2ML workshop at ICSG'21. Please consider to submit your ML or Quantum work to the workshop!
2021/06    A tutorial proposal on QuantumFlow has been accepted by IEEE Quantum Week. See you then virtually on Oct. 18-22, 2021.
2021/06    A tutorial proposal on QuantumFlow has been accepted by ESWEEK. See you then virtually on Oct. 08, 2021.
2021/05    Invited to serve as a TPC member in ICCAD 2021.
2021/04    Invited to serve as Guest Editor of IEEE TCAS-II Special Session on ISICAS 2021.
2021/04    Invited to serve as a TPC member in IEEE SOCC 2021.
2021/04    Invited to serve as a TPC member in ASAP 2021.
2021/03    Invited to serve as a TPC member in GLSVLSI 2021.
2021/03    Invited to serve as a TPC member in ISLVLSI 2021.
2021/03    Weiwen will join the ECE department at George Mason University as an Assistant Professor in Fall 2021.
JQub regularly recurits Ph.D. students who are interested in Q&A:
     [Q] Quantum Machine Learning
     [A] HW/SW Co-Design AutoML
     [X] Openings for Fall 2021 have been filled. Pls. check later for Spring 2022 (Update Date: May. 22, 2021)
Sponsors: