Experimental characterization of a non-Markovian quantum process
Kaumudibikash Goswami, Christina Giarmatzi, Christopher Pineda Monterola, Sally Shrapnel, Jacquiline Romero, Fabio A. S. Costa · Physical Review A · 2021
Most noise-characterization methods for quantum technologies assume Markovianity, meaning that the environment and the system have no memory of their interactions with each other, because it is inefficient and computationally demanding to take temporal correlations into account. Here, the authors propose a more efficient machine learning method for estimating non-Markovian noise and implement it in a proof-of-principle quantum optics experiment.