2019
Quantum Wasserstein Generative Adversarial Networks
NeurIPS 2019poster
The study of quantum generative models is well-motivated, not only because of its importance in quantum machine learning and quantum chemistry but also because of the perspective of its implementation on near-term quantum machines. Inspired by previous studies on the adversarial training of classica…