QUILAB Quantum Informatics Laboratory @ University of Verona

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.

  1. Publications
  2. Members
  3. Announcements
  4. Contact
Quantum Languages & Semantics Quantum Software Development Quantum Machine Learning & Applications Quantum optimization & Applications

Publications

2024

  1. 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
  2. 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
  3. Incudini M., Martini F., Di Pierro A. Toward useful quantum kernels. Advanced Quantum Technologies, doi: https://doi.org/10.1002/qute.202300298.

2023

  1. 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).
  2. 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

  1. 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.
  2. Incudini, M., Martini, F., & Di Pierro, A. (2022). Structure Learning of Quantum Embeddings. arXiv preprint arXiv:2209.11144.
  3. 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

  1. Di Pierro, A., & Incudini, M. (2021). Quantum Machine Learning and Fraud Detection. In Protocols, Strands, and Logic (pp. 139-155). Springer, Cham.
  2. Mengoni, R., Incudini, M., & Di Pierro, A. (2021). Facial expression recognition on a quantum computer. Quantum Machine Intelligence, 3(1), 1-11.

2020

  1. 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.
  2. 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

  1. Mengoni, R., & Di Pierro, A. (2019). Kernel methods in quantum machine learning. Quantum Machine Intelligence, 1(3), 65-71.
  2. Masini, A., & Zorzi, M. (2019). A logic for quantum register measurements. Axioms 8.1.
  3. Zorzi, M. (2019). Quantum Calculi—From Theory to Language Design. Applied Sciences 9.24.
  4. Paolini, L., Piccolo M., & Zorzi M. (2019). QPCF: higher-order languages and quantum circuits. Journal of Automated Reasoning 63.

2018

  1. Windridge, D., Mengoni, R., & Nagarajan, R. (2018). Quantum error-correcting output codes. International Journal of Quantum Information, 16(08), 1840003.
  2. Di Pierro, A., Mancini, S., Memarzadeh, L., & Mengoni, R. (2018). Homological analysis of multi-qubit entanglement. EPL (Europhysics Letters), 123(3), 30006.
  3. 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

  1. 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

External members

Former members

Announcements

Quilab Workshop - 7th June 2023

Department of Computer Science Strada le Grazie 15 37134 Verona

Contact

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.