Deep generative learning cannot only be used for generating new data wit...
Constraint programming (CP) is a paradigm used to model and solve constr...
Recent progress in quantum algorithms and hardware indicates the potenti...
The problem of compiling general quantum algorithms for implementation o...
Variational quantum algorithms, a class of quantum heuristics, are promi...
We present an algorithm for learning a latent variable generative model ...
Recently, the makespan-minimization problem of compiling a general class...
To run quantum algorithms on emerging gate-model quantum hardware, quant...