Ziyan Zhang

Ziyan Zhang

PhD Candidate, University of Amsterdam

About me

I am currently a third year Ph.D. candidate at University of Amsterdam, under the supervision of Prof. Dr. Paola Grosso and Dr. Florian Speelman. Prior to my doctoral studies, I obtained my Master of Science from the Superconducting Quantum Computing Lab, Southern University of Science and Technology. During my master’s studies, I was fortunate to work under the guidance of Dr. Fei Yan and Prof. Yuan Xu.

Research Interests

Affiliated with the Quantum Delta Netherlands Programme, I am currently conducting research on the integration of quantum and classical computing science, encompassing areas such as network management, network virtualization, and quantum information.

Preprints and Publications

  • Z. Zhang, F. Speelman, and P. Grosso, “Enhancing Position Verification in Multi-Node Quantum Networks,” in IEEE INFOCOM 2025 - IEEE Conference on Computer Communications, London, United Kingdom, May 2025, pp. 9.52 pdf.

  • Z. Zhang, F. Speelman, and P.Grosso, “Leveraging SDN Control for Time-Precise Quantum Position Verification”, in IEEE QCNC 2025 - IEEE International Conference on Quantum Communications, Networking, and Computing, Nara, Japan, March 2025 pdf

  • Z. Zhang, F. Speelman, and P. Grosso, “Toward Complete Quantum Network Stacks: A Survey,” in IEEE Network, vol. 38, no. 5, pp. 153-159, Sept. 2024, doi: 10.1109/MNET.2024.3402951.

  • C. Lyu, Z. Zhang, et al., “Multilevel Variational Spectroscopy Using a Programmable Quantum Simulator,” Physical Review Research, vol. 6, no. 1, pp. 013015, Jan. 2024, doi: 6.1 (2024): 013015.

Education

  • 2023.9 - Present, University of Amsterdam
    Ph.D. Candidate in Computer Science

Invited Talks

  • May 2025, ‘Towards complete and feasible quantum networks’, presented at CompSys 24, Den Bosch, the Netherlands

  • July 2025, “Enhancing Position Verification Using Quantum Networks”, presented at IETF 123 QIRG Session, Madrid

Experiences

  • 2023.2 - 2023.8, Research Engineer, BAIDU Research, Shenzhen, China

Developed quantum noise simulation and optimization modules in PaddlePaddle Quantum, focusing on improving circuit compilation and performance under realistic noise conditions. Designed and implemented algorithms for quantum circuit optimization and built simulation support for major types of quantum noise, enabling efficient execution of high-depth quantum circuits.

Teaching and Supervising

  • TA, Network and Network Security, Fall 2024
  • TA, Network and Network Security, Fall 2025