In modern photon statistics, classical and quantum behavior can be distinguished by various quantum states of photonstatistical distributions: Poisson (coherent/semi-classical wave behavior), and sub-Poisson (compressed state/particlebehavior). Since this type of measurement mechanism is often associated with advanced laser/optical or photonictechniques, can this type of distribution model be modeled using discrete 0-1 sequences? In this paper, several sets ofsimulation modes are designed, and FFT transformation is used to extract relevant eigenvalues. Following the processingmethods in the variant construction, special filters are constructed using the quantum random sequence provided byANU (Australian national university), and conditional random sub-sequences are collected as input sequences. Multiplesegments are separated from a random sequence, and relevant eigenvalues of FFT are selected to form a special set ofeigenvalues. The shift operations are used to transform each sequence, showing obvious non-stationary random effectson various maps.
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