About me
I am a joint PhD candidate at the QML-CVC group and Eurecat, conducting research at the intersection of generative modeling and quantum computing. My work focuses on scalable quantum generative models, specifically exploring techniques that enable the training of large-scale models.
I hold a BSc in Computer Science from the Universitat de Girona and an MSc in Complex Systems Modeling from the Universitat Autònoma de Barcelona.
Publications
- Jesús Lozano-Cruz, Albert Nieto-Morales, Oriol Balló-Gimbernat, Adan Garriga, Antón Rodríguez-Otero, Alejandro Borrallo-Rentero. “Practical insights on the effect of different encodings, ansätze and measurements in quantum and hybrid convolutional neural networks,” arXiv:2506.20355.
- Oriol Balló-Gimbernat, Marcos Arroyo-Sánchez. “Generative Graph Modeling on NISQ Computers,” 025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, NM, USA, 2025, pp. 452-453, doi: 10.1109/QCE65121.2025.10391.
- Oriol Balló-Gimbernat, Marcos Arroyo-Sánchez, Paula García-Molina, Adan Garriga, and Fernando Vilariño. “Shallow IQP circuits and graph generation,” arXiv:2511.05267.
Master Thesis
Oriol Ball’o. Dimensionality reduction of the BCL2 pathway,. Supervisors: Dr. Ielyaas Cloete and Tomás Alarcón.Oriol. 2024
Final Year Thesis
Oriol Ball’o. Coverage maps on domains with obstacles,. Supervisor: Narcís Coll and Marta Fort, Universitat de Girona. 2023
Software
- Exploration of quantum image encodings: https://github.com/uriballo/quantum-image-representations
- Repository for Shallow IQP circuits and graph generation: https://github.com/uriballo/IQP-NIS
- Practical introduction to JAX for QML with PennyLane: https://github.com/uriballo/Jax-QML
Contact information
E-mail: oballo@cvc.uab.cat
LinkedIn: https://www.linkedin.com/in/oriol-ballo/
Scholar: https://scholar.google.com/citations?hl=en&user=6Qa8e4YAAAAJ