Hello! I am Eason
I like to bridge quantum computing with machine learning.
Name: Eason Xie
Profile: Student, Researcher & Developer
Email: easonxie106@gmail.com
Skills: PyTorch | Python | Machine Learning | Qiskit | TorchQuantum | PennyLane | Quantum Simulation | Little bit of C++
About me
I am a quantum computing student focused on quantum circuit design, hybrid algorithms, and quantum machine learning. Honored to have won MIT iQuHACK 2025 and the Classiq Mega Challenge, I work on quantum state encoding, variational algorithms, and quantum machine learning. As a core member of the Quantum Applications Group, I also contribute to quantum-powered robotics through feature mapping and control algorithms. Passionate about bridging machine learning—especially reinforcement learning and Transformers—with quantum computing, I remain committed to collaboration, continuous learning, and innovative solutions for complex challenges.
RESEARCH AND PROJECTS
I focus on bridging quanutm computing and machine learning.
Quantum Reinforcement Learning
Integrating classical reinforcement learning with a novel quantum neural network to improve its training speed, decision-making accuracy, and lower the number of model parameters. (Ongoing)
Quantum Simulator
A quantum simulator based on tensor networks but with lower error, supports up to 1000+ qubit with high fidelity that can be run on GPUs for acceleration. (Ongoing)
Quantum-Enhanced Transformer
Integrating the Transformer with quantum simulation techniques such as unitary rotations to enhance its processing capability of details in the data with a less amount of model parameters. (Ongoing)
Send A Message To Me
Contact and Collaboration
As a student, I am eager to learn and collaborate with researchers, tech specialists, and industry professionals. If you share an interest in quantum computing, machine learning, reinforcement learning, or similar areas, and you're looking to exchange ideas or explore potential collaborations, please feel free to reach out through this website. I believe that by working together across disciplines, we can deepen our understanding of quantum and AI technologies. Thank you for visiting, and I look forward to learning and growing with you.
Hong Kong
easonxie106@gmail.com