3 papers
quant-ph2026
Provable and scalable quantum Gaussian processes for quantum learning
Jonas Jäger, Paolo Braccia, Pablo Bermejo +3
Despite rapid recent advances in quantum machine learning, the field is in many ways stuck. Existing approaches can exhibit serious limitations, and we still lack learning framewor…
quant-ph2026
The commutant of fermionic Gaussian unitaries
Paolo Braccia, N. L. Diaz, Martin Larocca +2
In this work, we characterize the -th order commutants of fermionic Gaussian unitaries and of their particle-preserving subgroup acting on fermionic modes. These commutants…
quant-ph2020
How to enhance quantum generative adversarial learning of noisy information
Paolo Braccia, Filippo Caruso, Leonardo Banchi
Quantum Machine Learning is where nowadays machine learning meets quantum information science. In order to implement this new paradigm for novel quantum technologies, we still need…