377 citations · 2.5k across the 36 of their papers we have counts for
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quant-ph2014★ 91 cited
Bayesian Network Structure Learning Using Quantum Annealing
Bryan O'Gorman, Alejandro Perdomo-Ortiz, Ryan Babbush +2
We introduce a method for the problem of learning the structure of a Bayesian network using the quantum adiabatic algorithm. We do so by introducing an efficient reformulation of a…
quant-ph2014★ 80 cited
A Quantum Annealing Approach for Fault Detection and Diagnosis of Graph-Based Systems
Alejandro Perdomo-Ortiz, Joseph Fluegemann, Sriram Narasimhan +2
Diagnosing the minimal set of faults capable of explaining a set of given observations, e.g., from sensor readouts, is a hard combinatorial optimization problem usually tackled wit…