Shuteng Wang (王书腾)

I am a PhD student at the Max Planck Institute for Informatics, within the Visual Computing and Artificial Intelligence Department, and Saarland University. I am advised by Prof. Michael Möller and Dr. Vladislav Golyanik.

My research lies at the intersection of quantum machine learning and optimization. In particular, I focus on:

  • Circuit-enhanced AI models;
  • AI-driven circuit architecture search and synthesis;
  • Single- and few-shot quantum generative modeling;
  • (Quantum) Ising machines;
  • Quantum-enhanced Computer Vision (QeCV).

E-mail: shuwang@mpi-inf.mpg.de

Google Scholar  /  GitHub

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Education
PhD student, MPII & Saarland University
August 2024 - present
M. Sc. in Simulation Sciences
B. Sc. in Mechanical Engineering
Research
Quantum Multiple Rotation Averaging
Shuteng Wang, Natacha Kuete Meli, Michael Möller, Vladislav Golyanik
[International Conference for 3D Vision (2026)]
project / pdf / code
Quantum Visual Fields with Neural Amplitude Encoding
Shuteng Wang, Christian Theobalt, Vladislav Golyanik
[International Conference on Neural Information Processing Systems (2025)]
project / pdf / code
Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms
Natacha Kuete Meli, Shuteng Wang, Marcel Seelbach Benkner, Michele Sasdelli, Tat-Jun Chin, Tolga Birdal, Michael Möeller, Vladislav Golyanik
[Arxiv]
project / pdf / code