New Aspects of Optical Coherence and their Potential for Quantum Technologies
Nathaniel Robert Miller

TL;DR
This paper explores new aspects of optical coherence and their applications in quantum technologies, including graph reduction algorithms, quantum imaging surpassing classical limits, and a quantum version of the van Cittert-Zernike theorem.
Contribution
It introduces a simple algebra for quantum network graph reduction, a neural network for quantum light source identification, and a quantum formalism for coherence propagation.
Findings
Derived rules for quantum network graph reduction
Developed a neural network for quantum source discrimination
Demonstrated sub-Poissonian statistics via post-selection
Abstract
Currently, optical technology impacts most of our lives, from light used in scientific measurement to the fiber optic cables that makeup the backbone of the internet. However, as our current optical infrastructure grows, we discover that these technologies are not limitless. However, our current optical technology functions on classical principles, and can be easily improved by incorporating our knowledge of quantum optics. In order to implement quantum technologies, our understanding of quantum coherence must improve. Through this knowledge we can maintain quantum states, and therefore their information, longer. In this dissertation, I will demonstrate that with sufficient knowledge of coherent properties, a simple algebra can be derived which can provide rules for graph reductions on a quantum network graph. Using this knowledge, I then provide a rudimentary algorithm which can find…
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Taxonomy
TopicsSpectroscopy Techniques in Biomedical and Chemical Research · Laser-Matter Interactions and Applications · Quantum Information and Cryptography
