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Found 3 papers, 1 papers with code
Explainable AI using expressive Boolean formulas
We combine the expressivity and efficiency of the native local optimizer with the fast operation of these devices by executing non-local moves that optimize over subtrees of the full Boolean formula.
Experimental evaluation of quantum Bayesian networks on IBM QX hardware
Bayesian Networks (BN) are probabilistic graphical models that are widely used for uncertainty modeling, stochastic prediction and probabilistic inference.
Quantum circuit representation of Bayesian networks
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
