Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine learning approach for quantum non-Markovian noise classification   In this paper, machine learning and artificial neural network models are
proposed for quantum noise classification in quantum dynamics affected by
external noise. For this purpose, we train and then validate support vector
machine, multi-layer perceptron and recurrent neural network models with
different complexity and accuracy, to solve supervised binary classification
problems. As a result, we demonstrate the high efficacy of such tools in
classifying noisy quantum dynamics using data sets collected from realizations
of the quantum system dynamics. In addition, we show that for a successful
classification one just needs to measure, in a sequence of discrete time
instants, the probabilities that the analysed quantum system is in one of the
allowed positions or energy configurations. In doing this, neither measurements
of quantum coherences nor sequences of control pulses may be necessarily
required. Albeit the training of machine learning models is here performed
a-priori on synthetic data, our approach is expected to find direct application
in different experimental schemes, as e.g. the noise benchmarking of already
available noisy intermediate-scale quantum devices.

26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin