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Quantum Techniques in Machine Learning

6–11 Dec 2026
Stellenbosch University
Africa/Johannesburg timezone

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    Contact

    • qtml2026@nithecs.ac.za

    Details for Vedran Dunjko

    Leiden University

    Author in the following contributions

    • Instantaneous Quantum Polynomial Circuit Born Machines: Trainability, Non-Simulability, Expressivity and Applications
    • Quantum machine learning advantages beyond hardness of evaluation
    • Classically trained, quantum-deployed generative models: universality and kernel-adaptive training
    • Quantum Advantage in Predicting Ground State Properties Beyond Constant Gaps
    • Provable learning separation for predicting time-evolution of quantum many-body systems
    • Machine learning with minimal use of quantum computers: Provable advantages in Learning Under Quantum Privileged Information (LUQPI)
    • Probing Nontrivial Betti Numbers with Variational Quantum Methods
    • Algebraic and Topological Limits of Unitary-Input Data Re-Uploading
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