Carugno, C., Ferrari Dacrema, M., Cremonesi, P. Evaluating the job shop scheduling problem on a D-wave quantum annealer. Nature Scientific Reports12, 6539 (2022). https://doi.org/10.1038/s41598-022-10169-0
Ferrari Dacrema, M., Moroni F., Nembrini R., Ferro N., Faggioli G., Cremonesi, P. Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers, SIGIR ’22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. https://doi.org/10.1145/3477495.3531755
Nembrini, R.; Ferrari Dacrema, M.; Cremonesi, P. Feature Selection for Recommender Systems with Quantum Computing. Entropy (2021), 23, 970. https://doi.org/10.3390/e23080970
Ferrari Dacrema, M.; Nembrini, R.; Zhou, T.; Cremonesi, P. Quantum Annealing Linear Regression For Collaborative Filtering Recommendations. European Quantum Technologies Conference, 2021.
Ferrari Dacrema, M.; Felicioni, N.; Cremonesi, P. Personalizing Video Recommendation Layout with Quantum Annealing. European Quantum Technologies Conference, 2021.
Ferrari Dacrema, M.; Felicioni, N.; Cremonesi, P. Optimizing the Selection of Recommendation Carousels with Quantum Computing. Fifteenth ACM Conference on Recommender Systems, 2021, 691–696. https://dl.acm.org/doi/abs/10.1145/3460231.3478853
Quantum Computing Algorithms
Simone Perriello, Alessandro Barenghi, Gerardo Pelosi: A Complete Quantum Circuit to Solve the Information Set Decoding Problem. IEEE International Conference on Quantum Computing and Engineering, QCE 2021 https://doi.org/10.1109/QCE52317.2021.00056
Simone Perriello, Alessandro Barenghi, Gerardo Pelosi: A Quantum Circuit to Speed-Up the Cryptanalysis of Code-Based Cryptosystems. Security and Privacy in Communication Networks – 17th EAI International Conference, SecureComm 2021 (ed. Springer) https://doi.org/10.1007/978-3-030-90022-9_25
Quantum Machine Learning
Armando Bellante, Alessandro Luongo, Stefano Zanero: Quantum algorithms for SVD-based data representation and analysis. Quantum Machine Intelligence 4.2 (2022) (ed. Springer) https://doi.org/10.1007/s42484-022-00076-y
Armando Bellante, Stefano Zanero: Quantum matching pursuit: A quantum algorithm for sparse representations. Poster session at QIP 2022. Physical Review A, 2022, 105.2: 022414 https://doi.org/10.1103/PhysRevA.105.022414
Armando Bellante: Quantum data representations for audio and natural language processing. Quantum natural language processing 2022 (org. by Cambridge Quantum Computing) Link to the talk
Armando Bellante, Gopikrishnan Muraleedharan, Rolando Somma: Solving the quantum simulation problem via signal analysis. 2021 Virtual Theoretical Division Lightning Talk Series (Los Alamos National Laboratory) https://doi.org/10.2172/1836977
Alessandro Luongo, Armando Bellante: The quantumalgorithms.org project. IEEE, International Conference on Quantum Computing and Engineering, QCE 2021, Workshop: Developing Effective Methodologies to Teach Quantum Information Science to Early-Stage Learners
Armando Bellante, Alessandro Luongo: Quantum algorithms for NLP: LSA, QSFA and CA. Quantum week of fun, Quantum natural language processing 2020 (org. by Cambridge Quantum Computing) Link to the talk