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Found 2 papers, 2 papers with code
Automated quantum programming via reinforcement learning for combinatorial optimization
Relative to a set of randomly generated problem instances, agents trained through reinforcement learning techniques are capable of producing short quantum programs which generate high quality solutions on both types of quantum resources.
Consistency of modularity clustering on random geometric graphs
We consider a large class of random geometric graphs constructed from samples $\mathcal{X}_n = \{X_1, X_2,\ldots, X_n\}$ of independent, identically distributed observations of an underlying probability measure $\nu$ on a bounded domain $D\subset \mathbb{R}^d$.
Probability Optimization and Control Statistics Theory Statistics Theory 60D05, 62G20, 05C82, 49J55, 49J45, 68R10
