SAMOP 2021 –
scientific programme
QI 2: Quantum Computing and Algorithms I
Monday, September 20, 2021, 10:45–12:45, H5
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10:45 |
QI 2.1 |
Training variational quantum algorithms is NP-hard — •Lennart Bittel and Martin Kliesch
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11:00 |
QI 2.2 |
Linear growth of quantum circuit complexity — •Jonas Haferkamp, Philippe Faist, Naga Kothakonda, Jens Eisert, and Nicole Yunger Halpern
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11:15 |
QI 2.3 |
Understanding Variational Quantum Learning Models — Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, •Johannes Jakob Meyer, Maria Schuld, and Ryan Sweke
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11:30 |
QI 2.4 |
Generalization in quantum machine learning from few training data — •Matthias C. Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew Sornborger, Lukasz Cincio, and Patrick J. Coles
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11:45 |
QI 2.5 |
Quantum Autoencoders for Error Correction — •David Locher, Lorenzo Cardarelli, and Markus Müller
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12:00 |
QI 2.6 |
Gottesman-Kitaev-Preskill bosonic error correcting codes: a lattice perspective — Jonathan Conrad, •Francesco Arzani, and Jens Eisert
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12:15 |
QI 2.7 |
Scalable approach to many-body localization via quantum data — •Alexander Gresch, Lennart Bittel, and Martin Kliesch
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12:30 |
QI 2.8 |
Fermion Sampling — Michal Oszmaniec, Ninnat Dangniam, Mauro Morales, and •Zoltan Zimboras
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