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

dc.cclicenceCC-BY-NC-NDen
dc.contributor.authorOrun, A.
dc.date.acceptance2023-01
dc.date.accessioned2023-01-30T14:37:08Z
dc.date.available2023-01-30T14:37:08Z
dc.date.issued2023-02-02
dc.description.abstractAbstract: 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.en
dc.funderNo external funderen
dc.identifier.citationOrun, A. (2023) The Characterization of photonic quantum wave-particle duality fluctuation phenomenon by Bayesian inference (AI). KOBIT7 - Quantum Optics and Information Meeting, University of Eskisehir, Turkey, 2-3 February 2023en
dc.identifier.otherhttps://kobit.org.tr/
dc.identifier.urihttps://hdl.handle.net/2086/22475
dc.language.isoenen
dc.peerreviewedYesen
dc.publisherKOBIT7, University of Eskisehir Turkeyen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectQuantum opticsen
dc.subjectAIen
dc.subjectwave-particle dualityen
dc.subjectlaser interferometryen
dc.titleThe Characterization of photonic quantum wave-particle duality fluctuation phenomenon by Bayesian inference (AI)en
dc.typeConferenceen

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