Speaker
Andrea Cacioppo
(Sapienza Università di Roma and INFN Roma)
Description
We propose a quantum version of a generative diffusion model. In this algorithm, artificial neural networks are replaced with parameterized quantum circuits, in order to directly generate quantum states. We present both a full quantum and a latent quantum version of the algorithm; we also present a conditioned version of these models. The models' performances have been evaluated using quantitative metrics complemented by qualitative assessments. An implementation of a simplified version of the algorithm has been executed on real NISQ quantum hardware.
Primary authors
Andrea Cacioppo
(Sapienza Università di Roma and INFN Roma)
Lorenzo Colantonio
(Sapienza Università di Roma)
Simone Bordoni
(Sapienza Università di Roma, INFN Roma, and TTI Abu Dhabi)
Stefano Giagu
(Sapienza Università di Roma and INFN Roma, Roma, Italy)
