ZHANG Yuxuan

Assistant Professor
Assistant Professor, Department of Physics (joint)

  • Ph.D., University of Texas of Austin
  • B.S. with Highest Honors, University of California, Santa Barbara

Yuxuan Zhang is an Assistant Professor at the School of Computing and the Department of Physics, National University of Singapore, joining in December 2026. His research sits at the interface of quantum information, quantum many-body physics, and artificial intelligence, with the goal of identifying quantum computations that are both verifiable and practically useful. Before joining NUS he was a postdoctoral researcher in Dmitry Abanin's group at EPFL and Princeton University, and a CQIQC Fellow at the University of Toronto and the Vector Institute for Artificial Intelligence. He received his Ph.D. from The University of Texas at Austin, advised by Scott Aaronson and Andrew C. Potter, and his B.S. in Physics from the University of California, Santa Barbara. His work spans verifiable quantum advantage — circuit families, such as peaked circuits, whose outputs a classical computer can check; the limits of classical simulation, using tensor-network and Pauli-path methods to map where classical algorithms stop, including the result that shallow magic depth remains simulable; quantum simulation of many-body and open systems on trapped-ion hardware, from non-Hermitian dynamics to noise-induced mixed-state phases whose order parameters are tied to quantum error correction; and machine learning for quantum computing, compiling many-body dynamics into short circuits and representing hard states with neural quantum states. The group is recruiting postdocs, PhD students, and visiting researchers from Jan. 2027. Projects span quantum complexity and verification, tensor-network and classical-simulation algorithms, quantum simulation on current hardware, and machine learning for quantum computing, and hardware-facing projects are all available. Qualified candidates will also have opportunities to collaborate with industry partners in quantum computing, including Quantinuum, Google, and IBM. Interested, highly motivated candidates should write to him at quantum.yxz@gmail.com with a CV and a short note on what they would like to work on; prior quantum experience helps but is not required.

RESEARCH AREAS

Algorithms & Theory
  • Quantum Information & Algorithms
Artificial Intelligence
  • Machine Learning

RESEARCH INTERESTS

  • Quantum Advantage

  • Quantum Simulation

  • AI for Quantum

  • Quantum Algorithm

RESEARCH PROJECTS

RESEARCH GROUPS

TEACHING INNOVATIONS

SELECTED PUBLICATIONS

  • Probing mixed-state phases on a quantum computer via Renyi correlators and variational decoding
  • Observation of a non-Hermitian supersonic mode on a trapped-ion quantum computer
  • Classical simulability of quantum circuits with shallow magic depth
  • On verifiable quantum advantage with peaked circuit sampling
  • Quantum volume for photonic quantum processors

AWARDS & HONOURS

COURSES TAUGHT