Most noise-characterization methods for quantum technologies assume Markovianity, meaning that the environment and system have no memory of their interactions with each other, because it is inefficient computationally demanding to take temporal correlations into account. Here, authors propose a more efficient machine learning method estimating non-Markovian noise implement in proof-of-principle...

We study an (s, S) production–inventory system with an attached Markovian service queue. A production facility gradually replenishes items in the inventory based on the (s, S) scheme, and the production process is assumed to be a Poisson process. In addition to the production–inventory system, c servers process customers that arrive in the system according to the Poisson process. The service ti...