Quantifying information via Shannon entropy in spatially structured optical beams
While information is ubiquitously generated, shared, and analyzed in a modern-day life, there is still some controversy around the ways to asses the amount and quality of information inside a noisy optical channel. A number of theoretical approaches based on, e.g., conditional Shannon entropy and Fi...
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Zusammenfassung: | While information is ubiquitously generated, shared, and analyzed in a
modern-day life, there is still some controversy around the ways to asses the
amount and quality of information inside a noisy optical channel. A number of
theoretical approaches based on, e.g., conditional Shannon entropy and Fisher
information have been developed, along with some experimental validations. Some
of these approaches are limited to a certain alphabet, while others tend to
fall short when considering optical beams with non-trivial structure, such as
Hermite-Gauss, Laguerre-Gauss and other modes with non-trivial structure. Here,
we propose a new definition of classical Shannon information via the Wigner
distribution function, while respecting the Heisenberg inequality. Following
this definition, we calculate the amount of information in a Gaussian,
Hermite-Gaussian, and Laguerre-Gaussian laser modes in juxtaposition and
experimentally validate it by reconstruction of the Wigner distribution
function from the intensity distribution of structured laser beams. We
experimentally demonstrate the technique that allows to infer field structure
of the laser beams in singular optics to assess the amount of contained
information. Given the generality, this approach of defining information via
analyzing the beam complexity is applicable to laser modes of any topology that
can be described by 'well-behaved' functions. Classical Shannon information
defined in this way is detached from a particular alphabet, i.e. communication
scheme, and scales with the structural complexity of the system. Such a synergy
between the Wigner distribution function encompassing the information in both
real and reciprocal space, and information being a measure of disorder, can
contribute into future coherent detection algorithms and remote sensing. |
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DOI: | 10.48550/arxiv.2011.08314 |