Some questions of particular interest include:

Can quantum computers provably offer meaningful advantages for machine learning? If not, can one prove their limitations?

Can one develop provably efficient algorithms for learning about the quantum world – i.e. for learning unknown quantum states and processes?

To what extent can one implement quantum learning algorithms in distributed settings with untrusted parties?

How can quantum cryptography be utilised to provide cryptographic advantages in security and robustness to state-of-the-art ML algorithms and models?

What foundational assumptions are necessary for cryptography — to what extent can one develop quantum cryptography in a world without one-way functions?

We are supported by the German Research Chair program of the Alexander von Humboldt foundation. Additionally, we co-operate closely with the group of Prof. Jens Eisert at the FU Berlin, with whom we share a joint DAAD grant.

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Current Group Members

Post-docs
  • Edem Boahen (joining May 2025)
PhD Students
  • Zayd Pandit
  • Aniska Zephrina Be
MSc Students
  • Daniel Olanrewaju
  • Abddelkhalig Elfatih
  • Ayman Tariq
  • Chekwube Utomi
  • James Naoussi
  • Rado Rakotoarivony

Recent Group Publications

Past Workshops

From October 26th to 30th 2025 we hosted the “1st AIMS Workshop and School on the Theory of Quantum Learning Algorithms”, organized jointly with researchers from the FU Berlin, EPFL and Scuola Normale Superiore di Pisa.

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A video documenting the 1st AIMS Workshop and School on the Theory of Quantum Learning Algorithms.

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Muizenberg