Xin Wang

Xin Wang

Staff Researcher

Baidu Research

Biography

I am a Staff Researcher at the Institute for Quantum Computing at Baidu Research. At Baidu Quantum, I focus on the research on quantum computing and the development of Baidu Quantum Platform. In particular, I lead the development of Paddle Quantum, a Python library for quantum machine learning. My research investigates a broad range of perspectives of quantum computing and quantum information, including quantum communication, entanglement theory, near-term quantum applications, quantum machine learning, and quantum control. I am also an editor of Quantum.

I was a Hartree Postdoctoral Fellow at the Joint Center for Quantum Information and Computer Science (QuICS) at the University of Maryland, College Park. I received my doctorate in quantum information from the University of Technology Sydney in 2018, under the supervision of Prof. Runyao Duan and Prof. Andreas Winter. I obtained my B.S. in mathematics (with Wu Yuzhang Honor) from Sichuan University in 2014.

I am a receipt of National Young Talents Project, Chancellor’s List for Outstanding Thesis of UTS, Outstanding Self-financed Overseas Student Scholarship.

A full list of my publications can be found on Google Scholar or arXiv. My full CV is available here.

Hiring: We are looking for self-motivated student interns interested in quantum computation, quantum machine learning, and quantum information (see, 知乎文章, or 中文主页 ). If you are interested in joining the journey from the fundamentals of quantum information to the frontier of quantum computing industry, please feel free to contact!

Interests
  • Quantum Information
  • Quantum Computation
  • Machine Learning
  • Optimization
  • Quantum Control
  • Quantum Programming
Education
  • PhD in Quantum Information, 2018

    University of Technology Sydney

  • BSc in Mathematics, 2014

    Sichuan University

Experience

 
 
 
 
 
Staff Researcher and Tech Leader
Institute for Quantum Computing, Baidu Research
Jul 2019 – Present Beijing, China
Research on quantum machine learning and platform development.
 
 
 
 
 
Hartree Fellow
QuICS, University of Maryland, College Park
Aug 2018 – Jun 2019 Maryland, USA
Research on quantum entanglement, fault-tolerent quantum computing, quantum simulation.

News

Recent Publications

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(2022). Variational quantum algorithms for trace distance and fidelity estimation. Quantum Science and Technology.

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(2021). Mitigating Quantum Errors via Truncated Neumann Series. arXiv:2111.00691.

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(2021). Variational Quantum Gibbs State Preparation with a Truncated Taylor Series. Physical Review Applied.

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(2021). Symmetric distinguishability as a quantum resource. New Journal of Physics.

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