Andrea Skolik

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Quantum Computing

Training Process

Top Venues

Quantum Mach. Intell.

Publications

Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen
Hybrid quantum ResNet for car classification and its hyperparameter optimization. Quantum Mach. Intell. 5 (2) (2023)
Andrea Skolik, Michele Cattelan, Sheir Yarkoni, Thomas Bäck, Vedran Dunjko
Equivariant quantum circuits for learning on weighted graphs. CoRR (2022)
Andrea Skolik, Sofiène Jerbi, Vedran Dunjko
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning. Quantum 6 (2022)
Asel Sagingalieva, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen
Hyperparameter optimization of hybrid quantum neural networks for car classification. CoRR (2022)
Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib
Layerwise learning for quantum neural networks. Quantum Mach. Intell. 3 (1) (2021)
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni
TensorFlow Quantum: A Software Framework for Quantum Machine Learning. CoRR (2020)
Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib
Layerwise learning for quantum neural networks. CoRR (2020)