Dear QML enthusiasts,
We are excited to announce the names of the 11 speakers who will join us in EQAI 2024!
❯ Davide Pastorello ❝An introduction to Quantum Computing❞
❯ Cristina Cirstoiu ❝How does noise affect the performance of quantum machine learning?❞
❯ Marco Cerezo ❝A primer on the theoretical aspects of quantum neural networks❞
❯ Matthias C. Caro ❝Hamiltonian Learning and Testing❞
❯ Vladislav Golyanik ❝Advances in Quantum-enhanced Computer Vision❞
❯ Daniel K. Park ❝Classical-quantum hybrid machine learning❞
❯ Christa Zoufal ❝Benchmarking quantum machine learning and optimization algorithms❞
❯ Simone Montangero ❝Introduction to Tensor Network Methods❞
❯ Michele Grossi ❝Quantum Technique for high energy physics❞
❯ Andrea Gentile ❝Scientific Machine Learning with (neutral atom) quantum circuits❞
❯ David Wierichs ❝Gradient-based training of QML models with PennyLane❞
ℹ️ All abstracts are available on ❯ eqai.eu/speakers
We would also like to thank you all for the great interest and the many participation requests!
🔴⏳ Spots at summer school are limited, so make sure to register soon if you haven’t yet.
All registrations and reservations are subject to availability and will be processed on a “first come, first served” basis.
As always, stay tuned to receive digest emails with the major updates
and feel free to reach out at eq...@ditedi.it and info...@gmail.com for any questions.
Best,
EQAI 2024 Local Committee