Andrea Skolik

According to our database, Andrea Skolik authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Hybrid quantum ResNet for car classification and its hyperparameter optimization.

Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen

Quantum Mach. Intell., December, 2023

2022

Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning.

Andrea Skolik, Sofiène Jerbi, Vedran Dunjko

Quantum, 2022

Equivariant quantum circuits for learning on weighted graphs.

Andrea Skolik, Michele Cattelan, Sheir Yarkoni, Thomas Bäck, Vedran Dunjko

CoRR, 2022

Hyperparameter optimization of hybrid quantum neural networks for car classification.

Asel Sagingalieva, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen

CoRR, 2022

2021

Layerwise learning for quantum neural networks.

Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib

Quantum Mach. Intell., 2021

2020

TensorFlow Quantum: A Software Framework for Quantum Machine Learning.

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

CoRR, 2020