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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 Adrián Pérez-Salinas

    Dr
    ETH Zürich

    Author in the following contributions

    • Warm Starts, Cold States: Exploiting Adiabaticity for Variational Ground-States
    • Limits of quantum generative models with classical sampling hardness
    • A Basis-Dependent Kernel for Learning Quantum Phases of Matter
    • A noise robust approach for solving the state hidden subgroup problem on cyclic groups with a quantum computer
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