|  | Vol-3586 urn:nbn:de:0074-3586-1 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 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 2023
AI for Quantum and Quantum for AI 2023

### Proceedings of the International Workshop on AI for Quantum and Quantum for AI (AIQxQIA 2023)
co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023)

### November 6 - November 9, 2023, Roma Tre University, Rome, Italy.

Edited by

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

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

## Table of Contents

- AIQxQIA 2023 Front Matter
- Preface
  This volume contains the papers presented at AIQxQIA 2023 (International Workshop on AI for Quantum and Quantum for AI) held within the XXII Conference of the Italian Association for Artificial Intelligence (AI*IA 2023), from November 6 to November 9, 2023. Summary: There were 14 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 2 as regular papers and 4 as short papers.

- A polynomial quantum computing algorithm for solving the dualization problem for positive boolean functions (Short Paper)
  Mauro Mezzini, Fernando Cuartero Gomez, Fernando Lopez Pelayo, Jose Javier Paulet Gonzalez, Hernan Indibil de la Cruz Calvo, Vicente Pascual
- On using QUBO to enforce extensions in abstract argumentation (Short Paper)
  Marco Baioletti, Francesco Santini
- Does the structure of the QUBO problem affect the effectiveness of quantum annealing? An empirical perspective (Extended Abstract)
  Riccardo Pellini, Maurizio Ferrari Dacrema, Paolo Cremonesi
- Coupling quantum classification and quantum distance estimation in continual learning
  Corrado Loglisci, Donato Malerba
- Quantum circuit noise simulation with reinforcement learning (Short Paper)
  Simone Bordoni, Andrea Papaluca, Piergiorgio Buttarini, Alejandro Sopena, Stefano Carrazza, Stefano Giagu
- Synthesis of CNOT minimal quantum circuits with topological constraints through ASP
  Carla Piazza, Riccardo Romanello
- Benchmarking adaptative variational quantum algorithms on QUBO instances (Extended Abstract)
  Gloria Turati, Maurizio Ferrari Dacrema, Paolo Cremonesi
- Multiobjective quantum circuit compilation (Short Paper)
  Lis Arufe, Riccardo Rasconi, Angelo Oddi, Ramiro Varela, Miguel Angel Gonzalez

2023-12-01: submitted by Riccardo Rasconi, metadata incl. bibliographic data published under Creative Commons CC0
2023-12-12: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|