Biography
I am Senior Researcher at the German Research Center for Artificial Intelligence (DFKI). My primary research objective revolves around exploring the benefits of quantum algorithms for computationally hard problems in artificial intelligence. In addition to my research endeavors, I am the lecturer of the quantum artificial intelligence courses at Saarland University.
Interests
- Quantum Artificial Intelligence
- Quantum Computing
- Artificial Intelligence
Education
PhD in Computer Science and Engineering, 2021
University of Bologna
MSc in Statistical Sciences, 2017
University Bologna
Advanced Master in Data Science, 2016
Bologna Business School, University Bologna
BSc in Statistical Sciences, 2014
University Bologna
Skills
Technical
Python
Data Science
SQL
Hobbies
Reading
Science
Biking
Recent Publications
Quickly discover relevant content by filtering publications.
(2025).
A comparative study of Q-Seg, quantum-inspired techniques, and U-Net for crack image segmentation.
tm-Technisches Messen.
(2025).
i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression.
arXiv e-prints.
(2025).
Nav-Q: quantum deep reinforcement learning for collision-free navigation of self-driving cars.
Quantum Machine Intelligence.
(2024).
A New Deep Learning Model to Detect Gamma-Ray Bursts in the AGILE Anticoincidence System.
The Astrophysical Journal.
(2024).
An efficient quantum algorithm for ensemble classification using bagging.
IET Quantum Communication.
Projects
As international competition escalates, a new white paper published today calls on the EU to invest in combining quantum computing and artificial intelligence to generate economic benefits and strengthen Europe’s position as a prominent global player in emerging deep technologies.
The aim of the project is to develop a broad basis of algorithms for AI applications with optimizations on quantum computers.
Machine learning can help universities by predicting which students are at risk of dropping out, allowing institutions to take proactive measures to address this issue, which has serious economic and social consequences in Italy.
Certifications
Certified Associate Developer - Quantum Computation using Qiskit v0.2X
An IBM Qiskit Developer is an individual who understands fundamental quantum computing concepts and is able to express them using the Qiskit open source software development kit (SDK). They have experience using the Qiskit SDK from the Python programming language to create and execute quantum computing programs on IBM Quantum computers and simulators. This individual is able to perform these tasks with little to no assistance from product.
See certificateQiskit Advocate
This badge earner has gathered a deep level of understanding with Qiskit including circuits, algorithms, simulators, qubits and noise. Through their contributions to the Qiskit and the quantum community, this individual has demonstrated an ability and commitment to educate and influence others by sharing ideas, knowledge and expertise in the field of quantum computing.
See certificatePopular Topics
Artificial Intelligence
Automotive Industry
Bin Packing
Coalition Game Theory
Deep Learning
Ensemble Learning
Image Segmentation
Machine Learning
Neural Networks
Quantum AI
Quantum Artificial Intelligence
Quantum Computing
Quantum ML
Quantum Neural Networks
Quantum Optimization
Quantum Reinforcement Learning
Contact
- antonio.macaluso@dfki.de
- +49 681 85775 5242
- Stuhlsatzenhausweg 3, Saarbruecken, 66123