Search Results for author: James E. Steck

Found 2 papers, 1 papers with code

Experimental evaluation of quantum Bayesian networks on IBM QX hardware

no code implementations26 May 2020 Sima E. Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James E. Steck

Bayesian Networks (BN) are probabilistic graphical models that are widely used for uncertainty modeling, stochastic prediction and probabilistic inference.

Stock Prediction

Quantum circuit representation of Bayesian networks

3 code implementations29 Apr 2020 Sima E. Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James E. Steck

We develop a systematic method for designing a quantum circuit to represent a generic discrete Bayesian network with nodes that may have two or more states, where nodes with more than two states are mapped to multiple qubits.

Quantum Physics Computational Engineering, Finance, and Science

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