Francesco Tacchino

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Quantum Computing

Benchmark Datasets

Top Venues

Mach. Learn. Sci. Technol.

Publications

Nicola Mariella, Albert Akhriev, Francesco Tacchino, Christa Zoufal, Juan Carlos Gonzalez-Espitia, Benedek Harsanyi, Eugene Koskin, Ivano Tavernelli, Stefan Woerner, Marianna Rapsomaniki, Sergiy Zhuk, Jannis Born
Quantum Theory and Application of Contextual Optimal Transport. CoRR (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)
Elie Bermot, Christa Zoufal, Michele Grossi, Julian Schuhmacher, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli
Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics. QCE (2023)
Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino
Symmetry-invariant quantum machine learning force fields. CoRR (2023)
Pauline J. Ollitrault, Sven Jandura, Alexander Miessen, Irene Burghardt, Rocco Martinazzo, Francesco Tacchino, Ivano Tavernelli
Quantum algorithms for grid-based variational time evolution. Quantum 7 (2023)
Lorenzo Laneve, Francesco Tacchino, Ivano Tavernelli
On Hitting Times for General Quantum Markov Processes. Quantum 7 (2023)
André Melo, Nathan Earnest-Noble, Francesco Tacchino
Pulse-efficient quantum machine learning. Quantum 7 (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)
Alexander Miessen, Pauline J. Ollitrault, Francesco Tacchino, Ivano Tavernelli
Quantum algorithms for quantum dynamics. Nat. Comput. Sci. 3 (1) (2023)
Gabriele Agliardi, Corey O'Meara, Kavitha Yogaraj, Kumar Jang Bahadur Ghosh, Piergiacomo Sabino, Marina Fernández-Campoamor, Giorgio Cortiana, Juan Bernabé-Moreno, Francesco Tacchino, Antonio Mezzacapo, Omar Shehab
Quadratic quantum speedup in evaluating bilinear risk functions. CoRR (2023)
Lorenzo Laneve, Francesco Tacchino, Ivano Tavernelli
On Hitting Times for General Quantum Markov Processes. CoRR (2022)
Junyu Liu, Khadijeh Najafi, Kunal Sharma, Francesco Tacchino, Liang Jiang, Antonio Mezzacapo
An analytic theory for the dynamics of wide quantum neural networks. CoRR (2022)
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)
Oriel Kiss, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli
Quantum neural networks force fields generation. Mach. Learn. Sci. Technol. 3 (3) (2022)
Oriel Kiss, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli
Quantum neural networks force fields generation. CoRR (2022)
Junyu Liu, Francesco Tacchino, Jennifer R. Glick, Liang Jiang, Antonio Mezzacapo
Representation Learning via Quantum Neural Tangent Kernels. CoRR (2021)
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)
Stefano Mangini, Francesco Tacchino, Dario Gerace, Chiara Macchiavello, Daniele Bajoni
Quantum computing model of an artificial neuron with continuously valued input data. Mach. Learn. Sci. Technol. 1 (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)