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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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PhD student, MPII & Saarland University
August 2024 - present
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M. Sc. in Simulation Sciences
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B. Sc. in Mechanical Engineering
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Quantum Multiple Rotation Averaging
Shuteng Wang, Natacha Kuete Meli, Michael Möller, Vladislav Golyanik
[International Conference for 3D Vision (2026)]
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pdf /
code
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Quantum Visual Fields with Neural Amplitude Encoding
Shuteng Wang, Christian Theobalt, Vladislav Golyanik
[International Conference on Neural Information Processing Systems (2025)]
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pdf /
code
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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]
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pdf /
code
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