Team members Prof. Michele Amoretti (PA) – responsabile del laboratorio – michele.amoretti@unipr.it Dott. Davide Ferrari (Post-Doc)Dott. Michele Bandini (Assegnista e Dottorando)Dott. Giacomo Belli (Assegnista)Dott. Marco Mordacci (Dottorando) https://www.qis.unipr.it/quantumsoftware.html
The research activity of the Quantum Software Laboratory concerns the following topics: quantum algorithmsquantum compiling quantum protocols and quantum network applications distributed quantum computing quantum optimization quantum machine learning application-oriented benchmarking of quantum computing systems quantum error correction HPC/quantum integration
Recent Research Projects 1] Quantum Internet Alliance (QIA-Phase1, Project ID 101102140), EU Horizon Europe – Quantum Flagship - https://quantuminternetalliance.org/ (2022-2026) 2] National Quantum Science and Technology Institute (NQSTI), PNRR - https://www.nqsti.it/ (2022-2025)
Selected publications D. Ferrari, M. Amoretti, A Simulation Framework for Distributed Quantum Computing, arXiv:2306.11539 (2023) D. Ferrari, S. Carretta, M. Amoretti, A Modular Quantum Compilation Framework for Distributed Quantum Computing, IEEE Trans. on Quantum Engineering, 4 (2023) M. Caleffi, M. Amoretti, D. Ferrari, D. Cuomo, J. Illiano, A. Manzalini, A. S. Cacciapuoti, Distributed Quantum Computing: a Survey, arXiv:2212.10609 (2022) O. van Deventer, N. Spethmann, M. Loeffler, M. Amoretti et al., Towards European Standards for Quantum Technologies, EPJ Quantum Technology 9(1), 33 (2022), DOI:10.1140/epjqt/s40507-022-00150-1 A. Manzalini, M. Amoretti, End-to-End Entanglement Generation Strategies: Capacity Bounds and Impact on Quantum Key Distribution, Quantum Reports, 4, 3 (2022), DOI:10.3390/quantum4030017 D. Ferrari, M. Amoretti, Noise-Adaptive Quantum Compilation Strategies Evaluated with Application-Motivated Benchmarks, Proc. of the 19th ACM International Conference on Computing Frontiers (2022), DOI:10.1145/3528416.3530250 M. Amoretti, Private Set Intersection with Delegated Blind Quantum Computing, Proc. of the 2021 IEEE Global Communications Conference (GLOBECOM); the most recent version on arXiv has been carefully revised and extended D. Ferrari, I. Tavernelli, M. Amoretti, Deterministic algorithms for compiling quantum circuits with recurrent patterns, Quantum Information Processing, 20, 6 (2021), DOI:10.1007/s11128-021-03150-9 D. Ferrari, A. S. Cacciapuoti, M. Amoretti, M. Caleffi, Compiler Design for Distributed Quantum Computing, IEEE Trans. on Quantum Engineering, 2, 1 (2021), DOI:10.1109/TQE.2021.3053921 M. Amoretti, S. Carretta, Entanglement Verification in Quantum Networks with Tampered Nodes, IEEE J. on Selected Areas in Communications (2020), DOI:10.1109/JSAC.2020.2967955 M. Amoretti, M. Pizzoni and S. Carretta, Enhancing distributed functional monitoring with quantum protocols, Quantum Information Processing, 18, 371 (2019), DOI:10.1007/s11128-019-2484-2 D. Ferrari and M. Amoretti, Efficient and effective quantum compiling for entanglement-based machine learning on IBM Q devices, International Journal of Quantum Information, Vol. 16, No. 8 (2018), DOI:10.1142/S0219749918400063
