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 (IPDPS, 2016)

Exploring Graph Analytics with the PCJ Toolbox. - Roxana Istrate; Panagiotis Kl. Barkoutsos; Michele Dolfi; Peter W. J. Staar; Costas Bekas (PPAM (2), 2017)

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 (ESANN, 2020)

Variational learning for quantum artificial neural networks. - Francesco Tacchino; Panagiotis Kl. Barkoutsos; Chiara Macchiavello; Dario Gerace; Ivano Tavernelli; Daniele Bajoni (QCE, 2020)

Improving Variational Quantum Optimization using CVaR. - Panagiotis Kl. Barkoutsos; Giacomo Nannicini; Anton Robert; Ivano Tavernelli; Stefan Woerner (Quantum, 2020)

Algorithmic Error Mitigation Scheme for Current Quantum Processors. - Philippe Suchsland; Francesco Tacchino; Mark H. Fischer; Titus Neupert; Panagiotis Kl. Barkoutsos; Ivano Tavernelli (Quantum, 2021)

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)

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., 2023)

Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets. - Manuel John; Julian Schuhmacher; Panagiotis Kl. Barkoutsos; Ivano Tavernelli; Francesco Tacchino (Entropy, 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., 2023)

Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications. - Pratibha Raghupati Hegde; Oleksandr Kyriienko; Hermanni Heimonen; Panagiotis Tolias; Gilbert Netzer; Panagiotis Kl. Barkoutsos; Ricardo Vinuesa; Ivy Peng; Stefano Markidis (CF, 2024)