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

Date

2023-02-02

Authors

Advisors

Journal Title

Journal ISSN

ISSN

DOI

Volume Title

Publisher

KOBIT7, University of Eskisehir Turkey

Type

Conference

Peer reviewed

Yes

Abstract

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.

Description

Keywords

Quantum optics, AI, wave-particle duality, laser interferometry

Citation

Orun, 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 2023

Rights

Research Institute

Institute of Artificial Intelligence (IAI)