Cheng-En Tsai

Research Experience

  1. NTU

    Undergraduate Researcher

    Design Verification Lab, NTU Taipei, Taiwan
    Advisor: Prof. Chung-Yang (Ric) Huang

    An Ultra-Low Logic Step Fault-Tolerant Quantum Circuit Synthesis via Lattice Surgery

    Paper Code
    • Developed FTQCS, a ZX-calculus–based synthesis framework that compiles quantum circuits into lattice-surgery schedules for surface-code execution.
    • Reduced asymptotic space–time cost from O(nÂł) to O(n²) and demonstrated over 148Ă— execution speedup and up to 8.4Ă— lower overhead compared to prior compilers.

    Qsyn: A Developer-Friendly Quantum Circuit Synthesis Framework

    Paper Code
    • Designed and implemented an end-to-end quantum circuit synthesis tool in C++, integrating optimization algorithms to enhance efficiency and scalability.
    • Applied Gray-code synthesis to translate tensor decompositions into quantum gates, enabling structured optimization with given gate sets.
  2. NTU

    Undergraduate Researcher

    Quantum Information Lab, NTU Taipei, Taiwan
    Advisor: Prof. Hao-Chung Cheng

    LossAgg-QFL: A Communication-Efficient QFL Framework for Non-IID Data

    Paper Code
    • Proposed LossAgg-QFL, a communication-efficient, gradient-free quantum federated learning framework where clients transmit only scalar losses, enabling scalable training on non-IID data and compatibility with NISQ devices.
    • Achieved up to 48.1% accuracy improvement over FedAdam on MNIST under non-IID settings, while reducing communication and circuit executions from parameter-dependent O(p) to constant O(1) per iteration.
  3. NTU

    Undergraduate Researcher

    Human Computer Interaction Lab, NTU Taipei, Taiwan
    Advisor: Prof. Mike Y. Chen

    CrossHaptics: Real-time Haptic Feedback for VR Games via Vibration Pattern Analysis

    • Designed a C# program to automatically capture VR controller vibration patterns from game developers, enabling support for additional haptic devices in all VR games.
    • Conducted user studies and analyzing data feedback for further fine-tuning.