Yuxuan (Vincent) Zhang

Affiliation

prof_pic2.jpg

PH H1 477,

1015 Lausanne

Switzerland

Hello! This is Yuxuan (Vincent) Zhang (张宇轩). I am currently a postdoctoral researcher in Prof. Dmitry Abanin’s group, superposed between Princeton and EPFL. I am also a part-time Research Scientist at BlueQubit, working on quantum algorithm development.

My research lies at the interface of quantum information, quantum many-body physics, and artificial intelligence. I am strongly motivated by questions such as: How can we achieve verifiable quantum advantage on near-term hardware? How can ideas from many-body physics advance quantum computation, and how can quantum computers help us better understand the laws of nature? And how can we best use machine-learning tools to improve the design of quantum computers?

Previously, I was a CQIQC Fellow at the Centre for Quantum Information and Quantum Control at the University of Toronto, with a joint appointment at the Vector Institute for Artificial Intelligence, where I worked closely with Yong-Baek Kim, Juan Carrasquilla(now at ETHz), and Dvira Segal.

I obtained my Ph.D. in Physics from The University of Texas at Austin, where I was fortunate to be mentored by Andrew C. Potter(now at Quantinuum) and Scott Aaronson. During my Ph.D., I became deeply interested in quantum information, quantum matter, and the computational structure of physical systems. Before that, I received my B.S. in Physics with Highest Honors from the University of California, Santa Barbara in 2016, and then spent a year at the Institute of High Energy Physics in Beijing, working on collider physics and detector reconstruction.

Outside research, I enjoy traveling, photography, classical music, and real-time strategy games.

After all, what have I learned about the quantum world so far? Well, in short:

You observed me, and thus we entangled — though I could never be a copy of you.

selected publications

2025

  1. Probing mixed-state phases on a quantum computer via Renyi correlators and variational decoding
    Yuxuan Zhang, Timothy H Hsieh, Yong Baek Kim, and 1 more author
    arXiv preprint arXiv:2505.02900, 2025
  2. Observation of a non-Hermitian supersonic mode on a trapped-ion quantum computer
    Yuxuan Zhang, Juan Carrasquilla, and Yong Baek Kim
    Nature Communications, 2025

2024

  1. Classical Simulability of Quantum Circuits with Shallow Magic Depth
    Yifan Zhang, and Yuxuan Zhang
    arXiv preprint arXiv:2409.15065, 2024
  2. Scalable quantum dynamics compilation via quantum machine learning
    Yuxuan Zhang, Roeland Wiersema, Juan Carrasquilla, and 2 more authors
    arXiv preprint arXiv:2409.16346, 2024
  3. On verifiable quantum advantage with peaked circuit sampling
    Scott Aaronson, and Yuxuan Zhang
    Apr 2024

2023

  1. Quantum Volume for Photonic Quantum Processors
    Yuxuan Zhang, Daoheng Niu, Alireza Shabani, and 1 more author
    Physical Review Letters, Apr 2023
  2. Holographic quantum simulation of entanglement renormalization circuits
    Sajant Anand, Johannes Hauschild, Yuxuan Zhang, and 2 more authors
    PRX Quantum, Apr 2023

2022

  1. Holographic simulation of correlated electrons on a trapped-ion quantum processor
    Daoheng Niu, Reza Haghshenas, Yuxuan Zhang, and 3 more authors
    PRX Quantum, Apr 2022

2021

  1. QED driven QAOA for network-flow optimization
    Yuxuan Zhang, Ruizhe Zhang, and Andrew C Potter
    Quantum, Apr 2021