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Andrea Skolik
Andrea Skolik
Quantum Computing Scientist at QuiX Quantum
Verified email at quixquantum.com
Title
Cited by
Cited by
Year
Quantum approximate optimization of non-planar graph problems on a planar superconducting processor
MP Harrigan, KJ Sung, M Neeley, KJ Satzinger, F Arute, K Arya, J Atalaya, ...
Nature Physics 17 (3), 332-336, 2021
5252021
Tensorflow quantum: A software framework for quantum machine learning
M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ...
arXiv preprint arXiv:2003.02989, 2020
4002020
Layerwise learning for quantum neural networks
A Skolik, JR McClean, M Mohseni, P van der Smagt, M Leib
Quantum Machine Intelligence 3 (1), 1-11, 2021
2842021
Quantum agents in the gym: a variational quantum algorithm for deep q-learning
A Skolik, S Jerbi, V Dunjko
Quantum 6, 720, 2022
1352022
Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm
M Streif, S Yarkoni, A Skolik, F Neukart, M Leib
Physical Review A 104 (1), 012403, 2021
522021
Hybrid quantum ResNet for car classification and its hyperparameter optimization
A Sagingalieva, M Kordzanganeh, A Kurkin, A Melnikov, D Kuhmistrov, ...
Quantum Machine Intelligence 5 (2), 38, 2023
40*2023
Equivariant quantum circuits for learning on weighted graphs
A Skolik, M Cattelan, S Yarkoni, T Bäck, V Dunjko
npj Quantum Information 9 (1), 47, 2023
382023
Robustness of quantum reinforcement learning under hardware errors
A Skolik, S Mangini, T Bäck, C Macchiavello, V Dunjko
EPJ Quantum Technology 10 (1), 1-43, 2023
152023
Volkswagen and quantum computing: An industrial perspective
S Yarkoni, M Leib, A Skolik, M Streif, F Neukart, D von Dollen
Digitale Welt 3, 34-37, 2019
92019
: Quantum Artificial Intelligence for the Automotive Industry
T Stollenwerk, S Bhattacharya, M Cattelan, A Ciani, G Compostella, ...
KI-Künstliche Intelligenz, 1-9, 2024
2024
Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
A Skolik
Leiden University, 2023
2023
Parameterized quantum circuits for reinforcement learning of classical rare dynamics
S Khatri, A Wilms, L Ohff, A Skolik, J Eisert
APS March Meeting Abstracts 2023, D73. 003, 2023
2023
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