{"id":237,"date":"2024-07-19T11:59:54","date_gmt":"2024-07-19T09:59:54","guid":{"rendered":"https:\/\/aiqxqia2025.cnr.it\/?page_id=237"},"modified":"2025-10-24T10:28:05","modified_gmt":"2025-10-24T08:28:05","slug":"program","status":"publish","type":"page","link":"https:\/\/aiqxqia2025.cnr.it\/?page_id=237","title":{"rendered":"Program"},"content":{"rendered":"\n

Saturday 25<\/strong><\/h2>\n\n\n\n

09:00 \u2013 09:05: Opening Remarks<\/p>\n\n\n\n

09:05 \u2013 10:00: Invited Talk: QAOA with Bayesian adaptive techniques on a Rydberg atom platform – Elisa Ercolessi (University of Bologna)<\/strong><\/p>\n\n\n\n

Session 1: Quantum Machine Learning Foundations & Architctures<\/h2>\n\n\n\n

10:0 \u2013 10:15: Qubit-Wise Architecture Search Method for Variational Quantum Circuits<\/em><\/strong>. Ke Xu, Jialin Chen, Di Wu, Fan Zhang, Wei Cao and Lingli Wang<\/p>\n\n\n\n

10:15 \u2013 10:30: Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning<\/em><\/strong>. Sebasti\u00e1n Cajas, Luis Fernando Torres Torres, Mario Bifulco, Carlos Andr\u00e9s Duran, Cristian Bosch and Ricardo Sim\u00f3n Carbajo<\/p>\n\n\n\n

10:30 \u2013 11:00: COFFEE BREAK<\/strong><\/p>\n\n\n\n

11:00 \u2013 11:15: The Effects of Conditional Pooling Techniques in Quanvolutional Circuits of Quantum-Classical Hybrid Neural Networks<\/em><\/strong>. Robin Faier, Jeanette Miriam Lorenz and Hans Ehm<\/p>\n\n\n\n

11:15 \u2013 11:30: Triplet Loss Based Quantum Encoding for Class Separability<\/em><\/strong>. Marco Mordacci, Mahul Pandey, Paolo Santini and Michele Amoretti<\/p>\n\n\n\n

11:30 \u2013 11:45: QSpark : Towards Reliable Qiskit Code Generation<\/em><\/strong>. Kiana Kheiri, Aamna Aamir, Andriy Miranskyy and Chen Ding<\/p>\n\n\n\n

11:45 \u2013 11:55: Dimensionality reduction for SWAP-Test<\/em><\/strong>. Filippo Orazi and Johannes Kn\u00f6rzer<\/p>\n\n\n\n

11:55 \u2013 12:05: Quantum Machine Learning on the Photonic Platform<\/em><\/strong>. Denis Stanev, Nicol\u00f2 Spagnolo and Fabio Sciarrino<\/p>\n\n\n\n

Session 2: Quantum Machine Learning for Real-World Applications<\/h2>\n\n\n\n

12:05 \u2013 12:15: Summary of: Solving Industrial Fault Diagnosis Problems with Quantum Computers<\/em><\/strong>. Alexander Diedrich, Stefan Windmann and Oliver Niggemann<\/p>\n\n\n\n

12:15 \u2013 12:30: Leveraging Triplet Autoencoders with Quantum Tensor Networks for Multiclass Image Classification<\/em><\/strong>. Vito Nicola Losavio, Maria Grazia Miccoli, Donato Malerba and Corrado Loglisci<\/p>\n\n\n\n

12:30 \u2013 14:00     LUNCH<\/strong><\/p>\n\n\n\n

14:00 \u2013 14:15: Quantum Autoencoder-Based Anomaly Detection for Cyberattacks in Smart Power Systems<\/em><\/strong>. Franco Cirillo and Christian Esposito<\/p>\n\n\n\n

14:15 \u2013 14:30: Quantum Federated Learning for Noisy and Imbalanced State Discrimination<\/em><\/strong>. Rocco Ballester, Christian Blum, Jesus Cerquides and Luis Artiles<\/p>\n\n\n\n

14:30 \u2013 14:40: Novel Approach to Multivariate Forecasting with Quantum Reservoirs<\/em><\/strong>. Jes\u00fas Bonilla, Diego Alberto Aranda, El\u00edas Fern\u00e1ndez-Combarro, Nerea Monri\u00f3, Sandra Ranilla-Cortina, Jose Ranilla and Jorge Ballesteros<\/p>\n\n\n\n

14:40 \u2013 14:55: Toward Quantum Social Robotics: A Hybrid Architecture for Emotion and Coping Management<\/em><\/strong>. Barbara Castrignano, Berardina Nadja De Carolis, Andrea Fiore, Maria Grazia Miccoli, Marco Romei Longhena, Vito Nicola Losavio and Giuseppe Palestra<\/p>\n\n\n\n

14:55 \u2013 15:10: Incorporating Content-based Features into Quantum Knowledge Graph Embeddings<\/em><\/strong>. Jonas Hendl and Michael F\u00e4rber<\/p>\n\n\n\n

Session 3: Quantum Systems, Noise & Control<\/strong><\/h2>\n\n\n\n

15:10 \u2013 15:20: Detection of noise correlations in two qubit systems by Machine Learning<\/em><\/strong>. Dario Fasone, Shreyasi Mukherjee, Dario Penna, Fabio Cirinn\u00e0, Mauro Paternostro, Elisabetta Paladino, Giuseppe Falci and Luigi Giannelli<\/p>\n\n\n\n

15:20 \u2013 15:30: Machine Learning-aided Optimal Control of a qubit subjected to external noise<\/em><\/strong>. Riccardo Cantone, Shreyasi Mukherjee, Luigi Giannelli, Elisabetta Paladino and Giuseppe A. Falci<\/p>\n\n\n\n

15:30 \u2013 16:00     COFFEE BREAK<\/strong><\/p>\n\n\n\n

16:00 \u2013 16:15: Detecting Gaussianity in open quantum systems with Machine Learning<\/em><\/strong>. Shreyasi Mukherjee, Luigi Giannelli, Dario Penna, Fabio Cirinn\u00e0, Elisabetta Paladino and Giuseppe A. Falci<\/p>\n\n\n\n

Session 4: Quantum Optimization & Decision Making<\/strong><\/strong><\/h2>\n\n\n\n

16:15 \u2013 16:30: Freeze and Conquer: Reusable Ansatz for Solving the Traveling Salesman Problem<\/em><\/strong>. Fabrizio Fagiolo and Nicol\u00f2 Vescera<\/p>\n\n\n\n

16:30 \u2013 16:45: Optimization of Beam Systems Using QUBO Models and Annealing Techniques<\/em><\/strong>. Stefano Speziali, Andrea Marini, Alberto Garinei, Marcello Marconi and Emanuele Piccioni<\/p>\n\n\n\n

16:45 \u2013 17:00: A QUBO Approach to Value-Sensitive Reasoning in Argumentation Frameworks<\/em><\/strong>. Marco Baioletti, Francesco Santini and Fabio Rossi<\/p>\n\n\n\n

17:00 \u2013 17:15: QAOA for Efficient Urban Logistical Ecosystem<\/em><\/strong>. Fabio Picariello, Gloria Turati, Riccardo Antonelli, Igor Bailo, Susanna Bonura, Gianmarco Ciarfaglia, Salvatore Cipolla, Paolo Cremonesi, Maurizio Ferrari Dacrema, Michele Gabusi, Ivan Gentile, Vito Morreale and Antonio Noto<\/p>\n\n\n\n

17:15 \u2013 17:30: Scalable Quantum Optimisation using HADOF: Hamiltonian Auto-Decomposition Optimisation Framework<\/em><\/strong>. Namasi G. Sankar, Georgios Miliotis and Simon Caton<\/p>\n\n\n\n

17:30 \u2013 17:40: Concluding Remarks<\/p>\n\n\n\n

Invited Talk<\/h2>\n\n\n\n

QAOA with Bayesian adaptive techniques on a Rydberg atom platform<\/strong><\/h2>\n\n\n\n

Elisa Ercolessi – University of Bologna<\/strong><\/p>\n\n\n\n

Abstract<\/strong>: Quantum Computing is seen as a potential breakthrough for the study of hard classical problems as well as for quantum many-body systems. However, we are in the era of NISQ devices and are still far away from fault-tolerant machines. This leads us to consider the possibility of hybrid classical-quantum protocols of variational type: they exploit quantum resources to efficiently prepare states that depend on a suitably chosen set of variational parameters, which can then be determined by means of optimization algorithms to be run on a classical computer. The choice of such classical optimizer schemes is to be guided by compatibility requirements with respect to the current available quantum platforms. To evaluate the feasibility of such an approach, we present an application of the Quantum Approximate Optimization Algorithm to the classical MIS problem on a graph implemented by means of emulations of the full protocol on classical hardware, as well as a case study that has been run on a real Rydberg atom quantum machine.<\/p>\n\n\n\n

Bio:<\/strong> Elisa Ercolessi is Associate Professor of Theoretical Physics, Models and Mathematical Methods at the Department of Physics and Astronomy since 2005. After earning a degree in Physics from the University of Bologna, she obtained a Ph.D. in Physics from Syracuse University (NY, USA). Her research activity focuses on quantum statistical mechanics, in collaboration with various national and international research groups. She studies models of low-dimensional many-body systems that exhibit topological and exotic phases of matter, as well as quantum information and computation theory.<\/p>\n\n\n\n

Since 2025 she is President of the Board of Directors of the Italian Quantum Alliance. Since 2024, she is also Director of AlmaQ (Center for Quantum Science and Technology, University of Bologna) as well as Member of the Executive Board of the Italian Society of Quantum Sciences and Technologies (SISTEQ).<\/p>\n\n\n\n

<\/p>\n\n\n\n

<\/p>\n\n\n\n

The keynote is part of the dissemination activities related to the research conducted within the Spoke 1 of the PNRR-NQSTI.<\/strong><\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Saturday 25 09:00 \u2013 09:05: Opening Remarks 09:05 \u2013 10:00: Invited Talk: QAOA with Bayesian adaptive techniques on a Rydberg atom platform – Elisa Ercolessi (University of Bologna) Session 1: Quantum Machine Learning Foundations & Architctures 10:0 \u2013 10:15: Qubit-Wise Architecture Search Method for Variational Quantum Circuits. Ke Xu, Jialin Chen, Di Wu, Fan Zhang,…<\/p>\n","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-237","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aiqxqia2025.cnr.it\/index.php?rest_route=\/wp\/v2\/pages\/237","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiqxqia2025.cnr.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aiqxqia2025.cnr.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aiqxqia2025.cnr.it\/index.php?rest_route=\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/aiqxqia2025.cnr.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=237"}],"version-history":[{"count":53,"href":"https:\/\/aiqxqia2025.cnr.it\/index.php?rest_route=\/wp\/v2\/pages\/237\/revisions"}],"predecessor-version":[{"id":505,"href":"https:\/\/aiqxqia2025.cnr.it\/index.php?rest_route=\/wp\/v2\/pages\/237\/revisions\/505"}],"wp:attachment":[{"href":"https:\/\/aiqxqia2025.cnr.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=237"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}