I am Cheng En Tsai (蔡承恩), currently a senior undergraduate majoring in Electrical Engineering at National Taiwan University (NTU). My academic interests lie at the intersection of quantum information and computation, as well as machine learning. At NTU, I have been conducting research on Distributed Quantum Machine Learning under the guidance of Prof. Hao Chung Cheng, and on Quantum Circuit Synthesis with Prof. Chung Yang (Ric) Huang.
BSc Electrical Engineering
National Taiwan University
My research interests focus on advancing the application and foundational frameworks of Quantum Information and Computation, with a particular emphasis on Quantum Machine Learning, Quantum Circuit Synthesis, and Quantum Communication Networks.
Currently, I am working on developing a novel framework for Quantum Federated Learning (QFL). My approach includes a loss-aggregation mechanism designed to overcome the challenges associated with non-IID (non-independent and identically distributed) data while significantly improving communication efficiency compared to existing QFL methods. Additionally, I am researching the qubit mapping problem, aiming to devise an effective heuristic algorithm for mapping logical qubits to physical qubits on quantum hardware. This research targets optimizing circuit operation time and minimizing circuit depth to enhance overall efficiency.
I am always open to collaboration opportunities, so feel free to reach out! 😃
I enjoy making things. Here are a selection of projects that I have worked on over the years.