
arXiv: 2206.09873
handle: 2434/957367 , 11573/1672161
The Orbital Angular Momentum (OAM) of light is an infinite-dimensional degree of freedom of light with several applications in both classical and quantum optics. However, to fully take advantage of the potential of OAM states, reliable detection platforms to characterize generated states in experimental conditions are needed. Here, we present an approach to reconstruct input OAM states from measurements of the spatial intensity distributions they produce. To obviate issues arising from intrinsic symmetry of Laguerre-Gauss modes, we employ a pair of intensity profiles per state projecting it only on two distinct bases, showing how this allows to uniquely recover input states from the collected data. Our approach is based on a combined application of dimensionality reduction via principal component analysis, and linear regression, and thus has a low computational cost during both training and testing stages. We showcase our approach in a real photonic setup, generating up-to-four-dimensional OAM states through a quantum walk dynamics. The high performances and versatility of the demonstrated approach make it an ideal tool to characterize high dimensional states in quantum information protocols.
FOS: Computer and information sciences, Quantum Physics, Computer Science - Machine Learning, Physics, QC1-999, FOS: Physical sciences, 530, orbital angular momentum of the light; quantum walk; machine learning, Machine Learning (cs.LG), Quantum Physics (quant-ph), Physics - Optics, Optics (physics.optics)
FOS: Computer and information sciences, Quantum Physics, Computer Science - Machine Learning, Physics, QC1-999, FOS: Physical sciences, 530, orbital angular momentum of the light; quantum walk; machine learning, Machine Learning (cs.LG), Quantum Physics (quant-ph), Physics - Optics, Optics (physics.optics)
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