Discrete optimization problems, which can be formulated as QUBO models, are ubiquitous in the telecommunications industry. Quantum Annealing, for example, is an optimization method [...].
Potential use cases in telecommunications: emerging optimization problems Read more "
Learning the structure of Bayesian networks is an NP-hard problem that has been tackled by several traditional methods over the last few decades. Currently,
Approximate quantum optimization algorithm for Bayesian network structure learning Read more "
The attached report summarizes the results of preliminary research into unsupervised vehicle classification via hybrid k-medoids. The document is organized
hybrid k-medoids for vehicle grouping: a brief memo Read more "
