22 citations · 55 across the 6 of their papers we have counts for
3 papers · 1 filter
Implementation and Learning of Quantum Hidden Markov Models
Vanio Markov, Vladimir Rastunkov, Amol Deshmukh +2
In this article, we use the theory of quantum channels and open quantum systems to provide an efficient unitary characterization of a class of stochastic generators known as quantu…
Reservoir Computing via Quantum Recurrent Neural Networks
Samuel Yen-Chi Chen, Daniel Fry, Amol Deshmukh +2
Recent developments in quantum computing and machine learning have propelled the interdisciplinary study of quantum machine learning. Sequential modeling is an important task with…
Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection
Christa Zoufal, Ryan V. Mishmash, Nitin Sharma +6
We introduce a variational quantum algorithm to solve unconstrained black box binary optimization problems, i.e., problems in which the objective function is given as black box. Th…