Deep generative learning cannot only be used for generating new data wit...
Efficient sampling of complex data distributions can be achieved using
t...
Recent progress in quantum algorithms and hardware indicates the potenti...
The development of quantum-classical hybrid (QCH) algorithms is critical...
Constructing powerful generative models for natural images is a challeng...
Variational autoencoders (VAEs) are powerful generative models with the
...