Andrea Skolik

Computer Science · Physical Sciences

8h-index997citations17works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Quantum Computing Algorithms and Architecture(13), Quantum Information and Cryptography(10), Neural Networks and Reservoir Computing(5), Advancements in Semiconductor Devices and Circuit Design(2), Optimization and Packing Problems(2)

Publications17 total

Quantum reinforcement learning of classical rare dynamics: Enhancement by intrinsic Fourier features
arXiv (Cornell University)·2025Open Access
$$\mathrm{Q(AI)}^2$$: Quantum Artificial Intelligence for the Automotive Industry
KI - Künstliche Intelligenz·2024Open Access
Hybrid quantum ResNet for car classification and its hyperparameter optimization
Quantum Machine Intelligence·2023· 39 citedOpen Access
Equivariant quantum circuits for learning on weighted graphs
npj Quantum Information·2023· 73 citedOpen Access
Robustness of quantum reinforcement learning under hardware errors
EPJ Quantum Technology·2023· 29 citedOpen Access
Robustness of quantum reinforcement learning under hardware errors
arXiv (Cornell University)·2022· 1 citedOpen Access
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
Quantum·2022· 176 citedOpen Access
Equivariant quantum circuits for learning on weighted graphs
arXiv (Cornell University)·2022· 3 citedOpen Access
Hybrid quantum ResNet for car classification and its hyperparameter optimization
arXiv (Cornell University)·2022· 2 citedOpen Access
Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm
Physical review. A/Physical review, A·2021· 43 citedOpen Access
Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm
2021Open Access
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
arXiv (Cornell University)·2021Open Access
Layerwise learning for quantum neural networks
Quantum Machine Intelligence·2021· 309 citedOpen Access
Layerwise learning for quantum neural networks
arXiv (Cornell University)·2020· 1 citedOpen Access
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
arXiv (Cornell University)·2020· 311 citedOpen Access
Volkswagen and quantum computing: An industrial perspective
Digitale Welt·2019· 10 cited

Frequent Co-authors

Vedran Dunjko(7), Martin Leib(7), Sheir Yarkoni(7), Michael Streif(5), David Von Dollen(4), Thomas Bäck(4), Florian Neukart(4), Sofiène Jerbi(3), Jarrod R. McClean(3), Michele Cattelan(3), Masoud Mohseni(2), Patrick van der Smagt(2), Asel Sagingalieva(2), Mo Kordzanganeh(2), Andrii Kurkin(2), Artem Melnikov(2), Daniil Kuhmistrov(2), Alexey Melnikov(2), Stefano Mangini(2), Chiara Macchiavello(2)