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What is Quantum Informatics in Statistical Analysis about?
This document discusses using a "root density estimator" approach for statistical data analysis and quantum state reconstruction. It presents four sets of basis functions based on orthogonal polynomials that can be used to numerically analyze and reconstruct statistical distributions from experimental data. These include Chebyshev-Hermite, Laguerre, Kravchuk and Charlier polynomials. Examples are given of how each set can model different types of distributions, such as Gaussian, exponential, binomial and Po
- Author
- Louis Davis
- Language
- EN