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Bayesian estimation of switching rates for blinking quantum emitters

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posted on 28.03.2022, 23:51 by Jemy Geordy
Quantum emitters such as quantum dots or colour centres in diamond have a range of interesting applications ranging from quantum sensing to biomedical imaging to being th eactive material in the newest generation of screen technologies. However, the particular environment a quantum emitter is exposed to can lead to intermittency of its fluorescence known as blinking. Understanding blinking dynamics and its causes is essential for optimizing quantum emitters for technological applications. A first step in this process is the correct analysis and inference of underlying blinking rates which characterize the internal switching process of the quantum emitter from a dark to a bright state and vice versa. This thesis develops a methodology for inferring these rates from data using Bayesian analysis. It treats the underlying blinking process as a hidden Markov chain. Both discrete and continuous-time Markov models are developed and applied in order to infer switching rates from fluorescence time-series having a physically realistic range from very slow to very fast blinking. The hidden-chain Markov model developed here could find applications in other areas such as finance and computational biology.


Table of Contents

1. Introduction -- 2. Blinking quantum emitters -- 3. Logic and probability theory -- 4. Discrete-time Markov chain models for a blinking emitter -- 5. Continuous-time Markov chain model for a blinking emitter -- 6. Conclusion and future outlook -- References.


Theoretical thesis. Bibliography: pages 51-54

Awarding Institution

Macquarie University

Degree Type

Thesis MRes


MRes, Macquarie University, Faculty of Science and Engineering, Department of Physics and Astronomy

Department, Centre or School

Department of Physics and Astronomy

Year of Award


Principal Supervisor

Thomas Volz

Additional Supervisor 1

Alexei Gilchrist


Copyright Jemy Geordy 2018. Copyright disclaimer: http://mq.edu.au/library/copyright




1 online resource (xiv, 54 pages) diagrams, graphs, tables

Former Identifiers

mq:71258 http://hdl.handle.net/1959.14/1272456