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Me

I am a predoctoral researcher focused on quantum generative modeling with near-term quantum computers. My work explores how variational quantum algorithms can be used to learn and generate complex distributions in the NISQ era.


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Experience

Jun 2024 – Present

Eurecat - Technology Centre

Predoctoral researcher · Full-time

Industrial PhD between Eurecat and the QML-CVC group from the Universitat Autònoma de Barcelona. Working at the intersection of machine learning and quantum computing with a focus on generative modeling with near-term quantum computers.

Feb 2024 – Jun 2024

Eurecat - Technology Centre

Research Intern · Part time

Research on variational quantum algorithms and quantum architecture search with a focus on their application to computer vision problems, mainly satellite image classification.


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Research

2026

Shallow instantaneous quantum polynomial-time circuits for generative modeling on noisy intermediate-scale quantum hardware

Oriol Balló-Gimbernat, Marcos Arroyo-Sánchez, Paula García-Molina, Adan Garriga, Fernando Vilariño

Physical Review A

2026

Practical insights on the effect of different encodings, ansätze and measurements in quantum and hybrid convolutional neural networks

Jesús Lozano-Cruz, Albert Nieto-Morales, Oriol Balló-Gimbernat, Adan Garriga, Antón Rodríguez-Otero, Alejandro Borrallo-Rentero

Quantum Machine Intelligence

2025

Generative Graph Modeling on NISQ Computers

Oriol Balló-Gimbernat, Marcos Arroyo-Sanchez

IEEE International Conference on Quantum Computing and Engineering (QCE)

2023

Coverage maps on domains with obstacles

Oriol Balló-Gimbernat, Narcís Coll, Marta Fort

XX Spanish Meeting on Computational Geometry