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 (Proceedings of the 21st ACM International Conference on Computing Frontiers, CF 2024, Ischia, Italy, May 7-9, 2024, 2024)

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

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)

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)

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 (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 (CoRR, 2022)

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

Improving Variational Quantum Optimization using CVaR - Panagiotis Kl. Barkoutsos; Giacomo Nannicini; Anton Robert; Ivano Tavernelli; Stefan Woerner (Quantum, 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 (28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020, 2020)

Variational learning for quantum artificial neural networks - Francesco Tacchino; Panagiotis Kl. Barkoutsos; Chiara Macchiavello; Dario Gerace; Ivano Tavernelli; Daniele Bajoni (IEEE International Conference on Quantum Computing and Engineering, QCE 2020, Denver, CO, USA, October 12-16, 2020, 2020)

Exploring Graph Analytics with the PCJ Toolbox - Roxana Istrate; Panagiotis Kl. Barkoutsos; Michele Dolfi; Peter W. J. Staar; Costas Bekas (Parallel Processing and Applied Mathematics - 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part II, 2017)

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 (2016 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2016, Chicago, IL, USA, May 23-27, 2016, 2016)