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ORCIDPanagiotis Kl. Barkoutsos
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2020 – today
- 2024
[c5]Pratibha Raghupati Hegde
, Oleksandr Kyriienko, Hermanni Heimonen, Panagiotis Tolias, Gilbert Netzer, Panagiotis Kl. Barkoutsos, Ricardo Vinuesa, Ivy Peng, Stefano Markidis:
Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications. CF 2024- 2023
- [j5]Manuel John, Julian Schuhmacher, Panagiotis Kl. Barkoutsos, Ivano Tavernelli, Francesco Tacchino:
Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets. Entropy 25(6): 860 (2023) - [j4]Stefano Mensa, Mustafa Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli:
Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage. Mach. Learn. Sci. Technol. 4(1): 15023 (2023) - [j3]Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli:
Unravelling physics beyond the standard model with classical and quantum anomaly detection. Mach. Learn. Sci. Technol. 4(4): 45031 (2023) - [i3]Kinga Anna Wozniak, Vasilis Belis, Ema Puljak, Panagiotis Kl. Barkoutsos, Günther Dissertori, Michele Grossi, Maurizio Pierini, Florentin Reiter, Ivano Tavernelli, Sofia Vallecorsa:
Quantum anomaly detection in the latent space of proton collision events at the LHC. CoRR abs/2301.10780 (2023) - [i2]Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli:
Unravelling physics beyond the standard model with classical and quantum anomaly detection. CoRR abs/2301.10787 (2023) - 2022
- [i1]Stefano Mensa, Mustafa Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli:
Quantum Machine Learning Framework for Virtual Screening in Drug Discovery: a Prospective Quantum Advantage. CoRR abs/2204.04017 (2022) - 2021
- [j2]Philippe Suchsland, Francesco Tacchino, Mark H. Fischer, Titus Neupert, Panagiotis Kl. Barkoutsos, Ivano Tavernelli:
Algorithmic Error Mitigation Scheme for Current Quantum Processors. Quantum 5: 492 (2021) - 2020
- [j1]Panagiotis Kl. Barkoutsos, Giacomo Nannicini, Anton Robert, Ivano Tavernelli, Stefan Woerner:
Improving Variational Quantum Optimization using CVaR. Quantum 4: 256 (2020) - [c4]Daniele Bajoni, Dario Gerace, Chiara Macchiavello, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli:
An quantum algorithm for feedforward neural networks tested on existing quantum hardware. ESANN 2020: 285-290 - [c3]Francesco Tacchino, Panagiotis Kl. Barkoutsos, Chiara Macchiavello, Dario Gerace, Ivano Tavernelli, Daniele Bajoni:
Variational learning for quantum artificial neural networks. QCE 2020: 130-136
2010 – 2019
- 2017
- [c2]Roxana Istrate, Panagiotis Kl. Barkoutsos, Michele Dolfi, Peter W. J. Staar, Costas Bekas:
Exploring Graph Analytics with the PCJ Toolbox. PPAM (2) 2017: 308-317 - 2016
- [c1]Peter W. J. Staar, Panagiotis Kl. Barkoutsos, Roxana Istrate, A. Cristiano I. Malossi, Ivano Tavernelli, Nikolaj Moll, Heiner Giefers, Christoph Hagleitner, Costas Bekas, Alessandro Curioni:
Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance. IPDPS 2016: 812-821
Coauthor Index
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