About us
QUILAB is the quantum computing laboratory at the University of Verona, dedicated to pushing the boundaries of quantum computing
from both theoretical and applicative perspectives.
Our research focuses on several topics including quantum machine learning,
quantum languages, and quantum software development.
- Publications
- Members
- Announcements
- Contact
Publications
2024
- Hoffmann M., …, Di Pierro, A., Baumbach, J., List, M., Blumenthal, DB. Network medicine-based epistasis detection in complex diseases: ready for quantum computing (2023). Available at https://www.medrxiv.org/content/10.1101/2023.11.07.23298205v1
- Incudini M., Lizzio Bosco, D., Martini, M., Grossi, M., Serra, G., Di Pierro, A. Automatic and effective discovery of quantum kernels (2023)
Available at https://arxiv.org/abs/2209.11144
- Incudini M., Martini F., Di Pierro A. Toward useful quantum kernels. Advanced Quantum Technologies, doi: https://doi.org/10.1002/qute.202300298.
2023
- Di Marcantonio, F., Incudini, M., Tezza, D., & Grossi, M. (2023). Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning. Quantum Machine Intelligence, 5(20).
- Incudini, M., Grossi, M., Ceschini, A., Mandarino, A., Panella, M., Vallecorsa, S., & Windridge, D. (2023). Resource saving via ensemble techniques for quantum neural networks. arXiv preprint arXiv:2303.11283.
2022
- Incudini, M., Grossi, M., Mandarino, A., Vallecorsa, S., Di Pierro, A., & Windridge, D. (2022). The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning. arXiv preprint arXiv:2212.11826.
- Incudini, M., Martini, F., & Di Pierro, A. (2022). Structure Learning of Quantum Embeddings. arXiv preprint arXiv:2209.11144.
- Incudini, M., Tarocco, F., Mengoni, R., Di Pierro, A., & Mandarino, A. (2022). Computing graph edit distance on quantum devices. Quantum Machine Intelligence, 4(2), 1-21.
2021
- Di Pierro, A., & Incudini, M. (2021). Quantum Machine Learning and Fraud Detection. In Protocols, Strands, and Logic (pp. 139-155). Springer, Cham.
- Mengoni, R., Incudini, M., & Di Pierro, A. (2021). Facial expression recognition on a quantum computer. Quantum Machine Intelligence, 3(1), 1-11.
2020
- Mengoni, R., Di Pierro, A., Memarzadeh, L., & Mancini, S. (2020). Persistent homology analysis of multiqubit entanglement. Quantum Information and Computation, 20(5&6), 375-399.
- S. Guerrini, S. Martini, A. Masini: Quantum Turing Machines: Computations and Measurements, Appl. Sci. 2020, 10(16), 5551; https://doi.org/10.3390/app10165551
2019
- Mengoni, R., & Di Pierro, A. (2019). Kernel methods in quantum machine learning. Quantum Machine Intelligence, 1(3), 65-71.
- Masini, A., & Zorzi, M. (2019). A logic for quantum register measurements. Axioms 8.1.
- Zorzi, M. (2019). Quantum Calculi—From Theory to Language Design. Applied Sciences 9.24.
- Paolini, L., Piccolo M., & Zorzi M. (2019). QPCF: higher-order languages and quantum circuits. Journal of Automated Reasoning 63.
2018
- Windridge, D., Mengoni, R., & Nagarajan, R. (2018). Quantum error-correcting output codes. International Journal of Quantum Information, 16(08), 1840003.
- Di Pierro, A., Mancini, S., Memarzadeh, L., & Mengoni, R. (2018). Homological analysis of multi-qubit entanglement. EPL (Europhysics Letters), 123(3), 30006.
- Bottarelli, L., Bicego, M., Denitto, M., Di Pierro, A., Farinelli, A., & Mengoni, R. (2018). Biclustering with a quantum annealer. Soft Computing, 22(18), 6247-6260.
2017
- Pierro, A. D., Mengoni, R., Nagarajan, R., & Windridge, D. (2017, December). Hamming Distance Kernelisation via Topological Quantum Computation. In International Conference on Theory and Practice of Natural Computing (pp. 269-280). Springer, Cham.
Members
Internal members
- Alessandra Di Pierro (alessandra.dipierro@univr.it)
- Massimiliano Incudini
- Nicola Assolini
- Francesco Martini
- Giacomo Campagnari
- Andrea Masini
- Margherita Zorzi
External members
- Michele Grossi
- Antonio Mandarino
- David Windridge
- Minh Ha Quang
- Davide Pastorello
- Giuseppe Serra
Announcements
Quilab Workshop - 7th June 2023
Department of Computer Science
Strada le Grazie 15
37134 Verona
How to reach us
QUILAB is hosted at the University of Verona, Department of Computer Science:
Università degli Studi di Verona - Dip. Informatica - Ca’ Vignal 2
Strada le Grazie, 15
37134, Verona (VR)
Italy
About this website
This website is hosted on Github Pages.