 Generative quantum machine learning via denoising diffusion probabilistic modelsPhysical Review Letters (PRL), 2023 |
 Application-Oriented Benchmarking of Quantum Generative Learning Using
QUARKInternational Conference on Quantum Computing and Engineering (QCE), 2023 |
 Trainability barriers and opportunities in quantum generative modelingnpj Quantum Information (NQI), 2023 Manuel S. Rudolph S. Lerch Supanut Thanasilp Oriel Kiss S. Vallecorsa Michele Grossi Michele Grossi Zoë Holmes |
 A Framework for Demonstrating Practical Quantum Advantage: Racing
Quantum against Classical Generative ModelsCommunications Physics (Commun. Phys.), 2023 |
 Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement
and measurement reductionQuantum Machine Intelligence (QMI), 2022 |
 Generalization Metrics for Practical Quantum Advantage in Generative
ModelsPhysical Review Applied (Phys. Rev. Appl.), 2022 |
