New representations for quantum entropy and applications of entropy in virus analysis

Information entropy is a measure of the average rate of information produced by a random data source, with representations for both classical and quantum information theory. The classical Shannon, Rényi, and Tsallis entropies are used for many applications in fields such as cryptology, financial int...

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Main Author: Sun, Sige
Other Authors: Shu Jian Jun
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/141765
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author Sun, Sige
author2 Shu Jian Jun
author_facet Shu Jian Jun
Sun, Sige
author_sort Sun, Sige
collection NTU
description Information entropy is a measure of the average rate of information produced by a random data source, with representations for both classical and quantum information theory. The classical Shannon, Rényi, and Tsallis entropies are used for many applications in fields such as cryptology, financial interpretations, signal processing, water engineering, and image processing. One key feature of quantum information theory is quantum entanglement, which has applications in quantum teleportation, quantum cryptography, and super-dense coding. To broaden applications of quantum entropy, a new, computationally easier representation for von Neumann entropy is introduced and generalised to Rényi and Tsallis entropies. The Shannon entropy is then applied to virus analysis, using SARS-CoV as a reference to determine possible binding sites for the Coronavirus Disease 2019 (COVID-19), aka SARS-CoV-2, and Angiotensin-Converting Enzyme 2 (ACE2).
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spelling ntu-10356/1417652023-03-04T19:27:11Z New representations for quantum entropy and applications of entropy in virus analysis Sun, Sige Shu Jian Jun School of Mechanical and Aerospace Engineering MJJShu@ntu.edu.sg Engineering::Bioengineering Engineering::Computer science and engineering::Data::Coding and information theory Engineering::Aeronautical engineering Information entropy is a measure of the average rate of information produced by a random data source, with representations for both classical and quantum information theory. The classical Shannon, Rényi, and Tsallis entropies are used for many applications in fields such as cryptology, financial interpretations, signal processing, water engineering, and image processing. One key feature of quantum information theory is quantum entanglement, which has applications in quantum teleportation, quantum cryptography, and super-dense coding. To broaden applications of quantum entropy, a new, computationally easier representation for von Neumann entropy is introduced and generalised to Rényi and Tsallis entropies. The Shannon entropy is then applied to virus analysis, using SARS-CoV as a reference to determine possible binding sites for the Coronavirus Disease 2019 (COVID-19), aka SARS-CoV-2, and Angiotensin-Converting Enzyme 2 (ACE2). Bachelor of Engineering (Aerospace Engineering) 2020-06-10T08:36:56Z 2020-06-10T08:36:56Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/141765 en application/pdf Nanyang Technological University
spellingShingle Engineering::Bioengineering
Engineering::Computer science and engineering::Data::Coding and information theory
Engineering::Aeronautical engineering
Sun, Sige
New representations for quantum entropy and applications of entropy in virus analysis
title New representations for quantum entropy and applications of entropy in virus analysis
title_full New representations for quantum entropy and applications of entropy in virus analysis
title_fullStr New representations for quantum entropy and applications of entropy in virus analysis
title_full_unstemmed New representations for quantum entropy and applications of entropy in virus analysis
title_short New representations for quantum entropy and applications of entropy in virus analysis
title_sort new representations for quantum entropy and applications of entropy in virus analysis
topic Engineering::Bioengineering
Engineering::Computer science and engineering::Data::Coding and information theory
Engineering::Aeronautical engineering
url https://hdl.handle.net/10356/141765
work_keys_str_mv AT sunsige newrepresentationsforquantumentropyandapplicationsofentropyinvirusanalysis