Name: Eason Xie
Profile: Student, Researcher & Developer
Email: easonxie106@gmail.com
Skills: PyTorch | Python | Perceval | Machine Learning | Qiskit | TorchQuantum | PennyLane | Quantum Simulation | Some C++
About me
I am a student focused on quantum simulation, quantum circuit design, and quantum machine learning. Honored to have won the MIT iQuHACK twice, the Quandela Perceval Challenge, and the Classiq Mega Challenge, I work on barren plateaus research, variational algorithms, and Hamiltonian simulation. I am currently an intern in Quandela and the Cavendish Laboratory, working on photonics-related research. Passionate about bridging real life applications with quantum computing, I remain committed to collaboration, continuous learning, and innovative solutions for complex challenges.
RESEARCH AND PROJECTS
I focus on bridging quantum computing and machine learning.
Barren Plateaus in Photonics
Investigating barren plateaus in photonic quantum circuits. Publication soon. (Ongoing)
Efficient Hamiltonian Simulation
A new method for simulating non-Unitary time-dependent Hamiltonians efficiently based on q-Drift. (Ongoing)
Quantum Simulator
A quantum simulator based on tensor networks and randomised sampling but with higher fidelity. (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