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• Michele Amoretti, Associate Professor, QSLab Director
• Davide Ferrari, Postdoctoral Researcher
• Michele Bandini, Research Fellow and PhD Student
• Giacomo Belli, Research Fellow
• Marco Mordacci, PhD Student

• Francesca Stefano, MSc Student
• Elia Candida, BSc Student
• Gabriele Incardona, BSc Student
• Marta Ravazzoni, BSc Student
• Federico Risoli, BSc Student
• Luca Trombi, BSc Student

• quantum algorithms
• quantum compiling and gate synthesis
• 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

• D. Ferrari, M. Bandini, M. Amoretti, Execution Management of Distributed Quantum Computing Jobs, Distributed Quantum Computing: Algorithms, Networks, Software, and Applications workshop, at IEEE QCE (2024)
• G. Belli, M. Mordacci, M. Amoretti, A Scalable Quantum Neural Network for Approximate Unitary Synthesis, Quantum Algorithm Design and Automation (QADA) workshop, at IEEE QCE (2024)
• M. Caleffi, M. Amoretti, D. Ferrari, J. Illiano, A. Manzalini, A. S. Cacciapuoti, Distributed Quantum Computing: a Survey, Computer Networks (2024)
• D. Ferrari, M. Amoretti, A Design Framework for the Simulation of Distributed Quantum Computing, HPQCI Workshop, at the 33rd ACM International Symposium on High-Performance Parallel and Distributed Computing (2024)
• M. Mordacci, D. Ferrari, M. Amoretti, Multi-Class Quantum Convolutional Neural Networks, QUASAR Workshop, in conjunction with the 33rd ACM International Symposium on High-Performance Parallel and Distributed Computing (2024)
• A. Bertuzzi, D. Ferrari, A. Manzalini, M. Amoretti, Evaluation of Quantum and Hybrid Solvers for Combinatorial Optimization, 21th ACM International Conference on Computing Frontiers (2024)
• D. Ferrari, S. Carretta, M. Amoretti, A Modular Quantum Compilation Framework for Distributed Quantum Computing, IEEE Trans. on Quantum Engineering (2023)
• 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