ESC

Feng Pan

Assistant Professor, Science, Mathematics and Technology Cluster, SUTD

Tensor Networks Quantum Computing Statistical Physics Machine Learning Quantum Error Correction Scientific Computing

We develop algorithms and computational methods at the interface of statistical physics, quantum computing, tensor networks, and machine learning. The group is especially interested in problems where mathematical structure and high-performance implementation meet: simulating quantum circuits, contracting complex tensor networks, decoding quantum error-correcting codes, and learning from hard probabilistic models.

Recruiting students and research assistants

Prospective research fellows, PhD students, research assistants & interns, visiting students are welcome to get in touch. Please send a CV and a short note about the research questions that excite you.

Feng Pan

Feng Pan

Assistant Professor

Science, Mathematics and Technology Cluster, SUTD

  • Ph.D. Theoretical Physics, ITP–CAS
  • Research Fellow, CQT, NUS

I lead a computation-minded research group at SUTD working on tensor networks, quantum computing, statistical physics, machine learning, and quantum error correction.

My work has been published on top-tier journals and conferences of both physics, computational science and machine learning, including Nature Computational Science, Physical Review Letters and Supercomputing. My research has been featured in Science journal, Phys.org.

News

All news
The group welcomes inquiries from PhD applicants, research assistants, visiting students, and collaborators.
Feng Pan gave an invited talk at Google Quantum AI on differentiable maximum likelihood noise estimation for quantum error correction.
Feng Pan is serving as a program committee member for the Asian Conference of Quantum Information Science 2026.
New preprints on repetition-code decoding and free-energy machines for combinatorial optimization are listed on the publications page.
Tensor Network Message Passing appeared in Physical Review Letters.
Recent quantum circuit simulation work appeared in SC24, ACM Transactions on Quantum Computing, and National Science Review.