Panagiotis Kl. Barkoutsos

15 papers A 1B 1Misc 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning Reduced Representations for Quantum Classifiers.
CoRR
Patrick Odagiu, Vasilis Belis, Lennart Schulze, Panagiotis Kl. Barkoutsos, Michele Grossi, Florentin Reiter, Günther Dissertori, Ivano Tavernelli, Sofia Vallecorsa
2025 J jnl
Learning reduced representations for quantum classifiers.
Quantum Mach. Intell.
Patrick Odagiu, Vasilis Belis, Lennart Schulze, Panagiotis Kl. Barkoutsos, Michele Grossi, Florentin Reiter, Günther Dissertori, Ivano Tavernelli, Sofia Vallecorsa
2024 — conf
Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications.
CF
Pratibha Raghupati Hegde, Oleksandr Kyriienko, Hermanni Heimonen, Panagiotis Tolias, Gilbert Netzer, Panagiotis Kl. Barkoutsos, Ricardo Vinuesa, Ivy Peng, Stefano Markidis
2023 J jnl
Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets.
Entropy
Manuel John, Julian Schuhmacher, Panagiotis Kl. Barkoutsos, Ivano Tavernelli, Francesco Tacchino
2023 J jnl
Quantum anomaly detection in the latent space of proton collision events at the LHC.
CoRR
Kinga Anna Wozniak, Vasilis Belis, Ema Puljak, Panagiotis Kl. Barkoutsos, Günther Dissertori, Michele Grossi, Maurizio Pierini, Florentin Reiter, Ivano Tavernelli, Sofia Vallecorsa
2023 J jnl
Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage.
Mach. Learn. Sci. Technol.
Stefano Mensa, Mustafa Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2023 J jnl
Unravelling physics beyond the standard model with classical and quantum anomaly detection.
CoRR
Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2023 J jnl
Unravelling physics beyond the standard model with classical and quantum anomaly detection.
Mach. Learn. Sci. Technol.
Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2022 J jnl
Quantum Machine Learning Framework for Virtual Screening in Drug Discovery: a Prospective Quantum Advantage.
CoRR
Stefano Mensa, Mustafa Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2021 J jnl
Algorithmic Error Mitigation Scheme for Current Quantum Processors.
Quantum
Philippe Suchsland, Francesco Tacchino, Mark H. Fischer, Titus Neupert, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2020 B conf
An quantum algorithm for feedforward neural networks tested on existing quantum hardware.
ESANN
Daniele Bajoni, Dario Gerace, Chiara Macchiavello, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2020 J jnl
Improving Variational Quantum Optimization using CVaR.
Quantum
Panagiotis Kl. Barkoutsos, Giacomo Nannicini, Anton Robert, Ivano Tavernelli, Stefan Woerner
2020 Misc conf
Variational learning for quantum artificial neural networks.
QCE
Francesco Tacchino, Panagiotis Kl. Barkoutsos, Chiara Macchiavello, Dario Gerace, Ivano Tavernelli, Daniele Bajoni
2017 — conf
Exploring Graph Analytics with the PCJ Toolbox.
PPAM (2)
Roxana Istrate, Panagiotis Kl. Barkoutsos, Michele Dolfi, Peter W. J. Staar, Costas Bekas
2016 A conf
Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.
IPDPS
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