Smart Quantum Technologies using Photons
- URL: http://arxiv.org/abs/2103.07081v3
- Date: Sun, 2 May 2021 03:10:36 GMT
- Title: Smart Quantum Technologies using Photons
- Authors: Narayan Bhusal
- Abstract summary: In Chapter 1, I present a historical account of photon-based technologies.
In Chapter 2, I review the fundamental concepts of quantum optics and machine learning.
In Chapter 4, I discuss our efforts to incorporate artificial intelligence in a quest to improve the efficiency of discriminating thermal light from coherent light sources.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: The technologies utilizing quantum states of light have been in the spotlight
for the last two decades. In this regard, quantum metrology, quantum imaging,
quantum-optical communication are some of the important applications that
exploit fascinating quantum properties like quantum superposition, quantum
correlations, and nonclassical photon statistics. However, the state-of-art
technologies operating at the single-photon level are not robust enough to
truly realize a reliable quantum-photonic technology.
In Chapter 1, I present a historical account of photon-based technologies.
Furthermore, I discuss recent encouraging developments in the field of
quantum-photonic technologies, and major challenges for the implementation of
reliable quantum technologies, setting up a stage for unveiling our smart
methodologies to cope with them. Similarly, in Chapter 2, I review the
fundamental concepts of quantum optics and machine learning. In Chapter 3, I
present a theoretical work on a nonlinear quantum metrology scheme, showing a
sub-shot-noise limited phase estimation using the displaced-squeezed light and
on/off detection. Furthermore, I discuss a camera-based squeezed-light
detection that can be a smart and time-efficient alternative to
balanced-homodyne detection. In Chapter 4, I discuss our efforts to incorporate
artificial intelligence in a quest to improve the efficiency of discriminating
thermal light from coherent light sources. In Chapter 5, I present a
communication protocol in presence of random phase distortions. We utilize
convolutional neural networks to perform the spatial mode correction of single
photons, resulting in a near-unity fidelity of correction. Finally, I wrap up
my dissertation in Chapter 6 by summarizing the historical context, challenges
facing state-of-art techniques, and the importance of our efforts to introduce
artificial intelligence in quantum technologies.
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