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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 Leandro Aolita

    Technology Innovation Institute

    Author in the following contributions

    • Machine-learned syndrome post-selection for reliable quantum error correction
    • Geometry-aware variational real-time quantum evolution
    • An efficient state preparation for the Pauli correlation encoding
    • A qubit-efficient solver for the Low Autocorrelation Binary Sequences problem
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