19 citations · 19 across the 2 of their papers we have counts for
4 papers · 1 filter
Experimental evaluation of quantum Bayesian networks on IBM QX hardware
Sima E. Borujeni, Nam H. Nguyen, Saideep Nannapaneni +2
Bayesian Networks (BN) are probabilistic graphical models that are widely used for uncertainty modeling, stochastic prediction and probabilistic inference. A Quantum Bayesian Netwo…
Quantum circuit representation of Bayesian networks
Sima E. Borujeni, Saideep Nannapaneni, Nam H. Nguyen +2
Probabilistic graphical models such as Bayesian networks are widely used to model stochastic systems to perform various types of analysis such as probabilistic prediction, risk ana…
Experimental pairwise entanglement estimation for an N-qubit system :A machine learning approach for programming quantum hardware
N. L. Thompson, N. H. Nguyen, E. C. Behrman +1
Designing and implementing algorithms for medium and large scale quantum computers is not easy. In previous work we have suggested, and developed, the idea of using machine learnin…
Benchmarking neural networks for quantum computation
N. H. Nguyen, E. C. Behrman, M. A. Moustafa +1
The power of quantum computers is still somewhat speculative. While they are certainly faster than classical ones at some tasks, the class of problems they can efficiently solve ha…