The Characterization of photonic quantum wave-particle duality fluctuation phenomenon by Bayesian inference (AI)

Abstract: The magnitudes of atomic exchange [1] activities between the chemical substances (by interactions at interferometer’s test chamber) had already been observed earlier by quantization of interferometric (Mach-Zehnder) quantum eraser pattern’s motions caused by the photonic wave-particle duality fluctuations [2][3]. In our further experiments here, such fluctuations have been characterised by use of Bayesian inference technique (AI) which was capable of revealing the hidden information/links in the wave-particle duality fluctuation phenomenon, as normally not visible to human observer in a complex time-domain sequence of measurements. Within this work, the constructive role of AI techniques [4] (Bayesian Networks [5] in particular) has been emphasised which would lead to more effective analysis of a quantum phenomenon in the future.