• Indico style
  • Indico style - inline minutes
  • Indico style - numbered
  • Indico style - numbered + minutes
  • Indico Weeks View

Choose timezone

Your profile timezone:
Use timezone based on:
Login

Quantum Techniques in Machine Learning

6–11 Dec 2026
Stellenbosch University
Africa/Johannesburg timezone

Event menu

  • Overview
  • Scientific Programme
  • Call for Abstracts
    • Timetable
    • Contribution List

    Contact

    • qtml2026@nithecs.ac.za

    Details for Michele Grossi

    CERN

    Author in the following contributions

    • Weighted Quantum Signal Processing for Kolmogorov–Arnold Networks: Efficient Activation Function Realization and Quantum Resource Bounds
    • Tangle-Nonlocality Signatures in Structured Ansatz Ensembles
    • Weighted Quantum Signal Processing: A Resource-Efficient Framework for Univariate Polynomial Approximation
    • Quantum Fourier Generative Models Trainable at Large Scale
    • Probabilistic modeling over permutations using quantum computers
    • Sample-based training of quantum Boltzmann machines
    • Classically compiling large-scale quantum circuits for approximate ground and thermal states
    • Hardware-Realistic Surface-Code Simulation under Stochastic Gate Noise
    Indico
    Powered by Indico v3.3.12
    • Help
    • Contact