Panagiotis Kl. Barkoutsos

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Anomaly Detection

Feedforward Neural Networks

Top Venues

Mach. Learn. Sci. Technol.

Publications

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)
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) (2023)
Manuel John, Julian Schuhmacher, Panagiotis Kl. Barkoutsos, Ivano Tavernelli, Francesco Tacchino
Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets. Entropy 25 (6) (2023)
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 (2023)
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 (2023)
Stefano Mensa, 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) (2023)
Stefano Mensa, Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
Quantum Machine Learning Framework for Virtual Screening in Drug Discovery: a Prospective Quantum Advantage. CoRR (2022)
Philippe Suchsland, Francesco Tacchino, Mark H. Fischer, Titus Neupert, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
Algorithmic Error Mitigation Scheme for Current Quantum Processors. Quantum 5 (2021)
Francesco Tacchino, Panagiotis Kl. Barkoutsos, Chiara Macchiavello, Dario Gerace, Ivano Tavernelli, Daniele Bajoni
Variational learning for quantum artificial neural networks. QCE (2020)
Panagiotis Kl. Barkoutsos, Giacomo Nannicini, Anton Robert, Ivano Tavernelli, Stefan Woerner
Improving Variational Quantum Optimization using CVaR. Quantum 4 (2020)
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)
Roxana Istrate, Panagiotis Kl. Barkoutsos, Michele Dolfi, Peter W. J. Staar, Costas Bekas
Exploring Graph Analytics with the PCJ Toolbox. PPAM (2) (2017)
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)