|  | Vol-4153 urn:nbn:de:0074-4153-x Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# AIQxQIA 2025
AI for Quantum and Quantum for AI 2025

## Proceedings of the 3rd International Workshop on AI for Quantum and Quantum for AI (AIQxQIA 2025)
co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025)

### Bologna, Italy, October 25, 2025.

Edited by

### Marco Baioletti 1
Miguel Angel Gonzalez 2
Corrado Loglisci 3
Angelo Oddi 4
Riccardo Rasconi 4
Ramiro Varela 2

1 University of Perugia, Italy
2 University of Oviedo, Spain
3 University of Bari, Italy
4 National Research Council (CNR), Italy

## Table of Contents

- AIQxQIA 2025 Front Matter
- Preface
  Summary: This volume contains the papers presented at AIQxQIA 2025 (3rd International Workshop on AI for Quantum and Quantum for AI) held within the 28th European Conference on Artificial Intelligence (ECAI 2025), from October 25 to October 30, 2025. There were 23 papers submitted for peer-review to this workshop. Out of these, 18 papers were accepted for this volume, 11 as regular papers, 2 as short papers, 5 as extended abstract.

- Incorporating Content-based Features into Quantum Knowledge Graph Embeddings
  Jonas Hendl, Michael Färber
- Quantum Autoencoder-Based Anomaly Detection for Cyberattacks in Smart Power Systems (Short Paper)
  Franco Cirillo, Christian Esposito
- Novel Approach to Multivariate Forecasting with Quantum Reservoirs (Extended Abstract)
  Diego Alberto Aranda, Jorge Ballesteros, Jesús Bonilla, Elías Fernández-Combarro, Nerea Monrió, Sandra Ranilla-Cortina, Jose Ranilla
- Quantum Federated Learning for Noisy and Imbalanced State Discrimination
  Rocco Ballester, Christian Blum, Jesus Cerquides, Luis Artiles
- QSpark : Towards Reliable Qiskit Code Generation
  Kiana Kheiri, Aamna Aamir, Andriy Miranskyy, Chen Ding
- QAOA for Efficient Urban Logistical Ecosystem
  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, Antonio Noto
- Scalable Quantum Optimisation using HADOF: Hamiltonian Auto-Decomposition Optimisation Framework
  Namasi G. Sankar, Georgios Miliotis, Simon Caton
- Quantum Machine Learning on the Photonic Platform (Extended Abstract)
  Denis Stanev, Nicolò Spagnolo, Fabio Sciarrino
- Machine Learning-aided Optimal Control of a Qubit Subjected to External Noise (Extended Abstract)
  Riccardo Cantone, Shreyasi Mukherjee, Luigi Giannelli, Elisabetta Paladino, Giuseppe A. Falci
- Testing Noise Correlations by an AI-Assisted Two-Qubit Quantum Sensor (Extended Abstract)
  Dario Fasone, Shreyasi Mukherjee, Dario Penna, Fabio Cirinnà, Mauro Paternostro, Elisabetta Paladino, Giuseppe Falci, Luigi Giannelli
- The Effects of Conditional Pooling Techniques in Quanvolutional Circuits of Quantum-Classical Hybrid Neural Networks
  Robin Faier, Jeanette Miriam Lorenz, Hans Ehm
- Toward Quantum Social Robotics: A Hybrid Architecture for Emotion and Coping Management (Short Paper)
  Barbara Castrignano, Berardina Nadja De Carolis, Andrea Fiore, Maria Grazia Miccoli, Marco Romei Longhena, Vito Nicola Losavio, Giuseppe Palestra
- Triplet Loss Based Quantum Encoding for Class Separability
  Marco Mordacci, Mahul Pandey, Paolo Santini, Michele Amoretti
- Leveraging Triplet Autoencoders with Quantum Tensor Networks for Multiclass Image Classification
  Vito Nicola Losavio, Maria Grazia Miccoli, Donato Malerba
- Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
  Sebastián Cajas, Luis Fernando Torres Torres, Mario Bifulco, Carlos Andrés Duran, Cristian Bosch, Ricardo Simón Carbajo
- Optimization of Beam Systems Using QUBO Models and Annealing Techniques
  Stefano Speziali, Andrea Marini, Alberto Garinei, Marcello Marconi, Emanuele Piccioni
- A QUBO Approach to Value-Sensitive Reasoning in Argumentation Frameworks
  Marco Baioletti, Francesco Santini, Fabio Rossi
- Summary of: Solving Industrial Fault Diagnosis Problems with Quantum Computers (Extended Abstract)
  Alexander Diedrich, Stefan Windmann Oliver Niggemann

2025-12-22: submitted by Riccardo Rasconi, metadata incl. bibliographic data published under Creative Commons CC0
2026-01-20: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|