Panagiotis Kl. Barkoutsos

According to our database, Panagiotis Kl. Barkoutsos authored at least 10 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unravelling physics beyond the standard model with classical and quantum anomaly detection.

Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli

Mach. Learn. Sci. Technol., December, 2023

Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets.

Manuel John, Julian Schuhmacher, Panagiotis Kl. Barkoutsos, Ivano Tavernelli, Francesco Tacchino

Entropy, June, 2023

Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage.

Stefano Mensa, Mustafa Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli

Mach. Learn. Sci. Technol., March, 2023

Quantum anomaly detection in the latent space of proton collision events at the LHC.

Kinga Anna Wozniak, Vasilis Belis, Ema Puljak, Panagiotis Kl. Barkoutsos, Günther Dissertori, Michele Grossi, Maurizio Pierini, Florentin Reiter, Ivano Tavernelli, Sofia Vallecorsa

CoRR, 2023

2021

Algorithmic Error Mitigation Scheme for Current Quantum Processors.

Philippe Suchsland, Francesco Tacchino, Mark H. Fischer, Titus Neupert, Panagiotis Kl. Barkoutsos, Ivano Tavernelli

Quantum, 2021

2020

Improving Variational Quantum Optimization using CVaR.

Panagiotis Kl. Barkoutsos, Giacomo Nannicini, Anton Robert, Ivano Tavernelli, Stefan Woerner

Quantum, 2020

Variational learning for quantum artificial neural networks.

Francesco Tacchino, Panagiotis Kl. Barkoutsos, Chiara Macchiavello, Dario Gerace, Ivano Tavernelli, Daniele Bajoni

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2020

An quantum algorithm for feedforward neural networks tested on existing quantum hardware.

Daniele Bajoni, Dario Gerace, Chiara Macchiavello, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2017

Exploring Graph Analytics with the PCJ Toolbox.

Roxana Istrate, Panagiotis Kl. Barkoutsos, Michele Dolfi, Peter W. J. Staar, Costas Bekas

Proceedings of the Parallel Processing and Applied Mathematics, 2017

2016

Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.

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

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016