Quantum information entropy
Information entropy, the expected amount of information produced by a random data source, has been a topic of interest since Shannon introduced the concept in 1948. The concept was later generalised to Rényi and Tsalli entropies for different research applications in the classical information theory...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/78657 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-78657 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-786572023-03-04T19:24:33Z Quantum information entropy Pi, Shuheng Shu Jian Jun School of Mechanical and Aerospace Engineering DRNTU::Science::Physics::Atomic physics::Quantum theory Information entropy, the expected amount of information produced by a random data source, has been a topic of interest since Shannon introduced the concept in 1948. The concept was later generalised to Rényi and Tsalli entropies for different research applications in the classical information theory. The information entropy becomes increasingly important when dealing with data compression and cryptography in this data-driven era which requires efficient management of the big data and effective extraction of meaningful information. Hence, in this final year project report, the author introduces the new representation of von Neumann entropy with less computational effort and new representations of Rényi and Tsalli in the quantum information domain. Meanwhile, the author investigates mathematically the feasibility of the proposed representations of von Neumann, Rényi and Tsalli entropies. Subsequently, the new representations are validated through MATLAB and case studies. Bachelor of Engineering (Mechanical Engineering) 2019-06-25T05:53:22Z 2019-06-25T05:53:22Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78657 en Nanyang Technological University 97 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Science::Physics::Atomic physics::Quantum theory |
spellingShingle |
DRNTU::Science::Physics::Atomic physics::Quantum theory Pi, Shuheng Quantum information entropy |
description |
Information entropy, the expected amount of information produced by a random data source, has been a topic of interest since Shannon introduced the concept in 1948. The concept was later generalised to Rényi and Tsalli entropies for different research applications in the classical information theory. The information entropy becomes increasingly important when dealing with data compression and cryptography in this data-driven era which requires efficient management of the big data and effective extraction of meaningful information. Hence, in this final year project report, the author introduces the new representation of von Neumann entropy with less computational effort and new representations of Rényi and Tsalli in the quantum information domain. Meanwhile, the author investigates mathematically the feasibility of the proposed representations of von Neumann, Rényi and Tsalli entropies. Subsequently, the new representations are validated through MATLAB and case studies. |
author2 |
Shu Jian Jun |
author_facet |
Shu Jian Jun Pi, Shuheng |
format |
Final Year Project |
author |
Pi, Shuheng |
author_sort |
Pi, Shuheng |
title |
Quantum information entropy |
title_short |
Quantum information entropy |
title_full |
Quantum information entropy |
title_fullStr |
Quantum information entropy |
title_full_unstemmed |
Quantum information entropy |
title_sort |
quantum information entropy |
publishDate |
2019 |
url |
http://hdl.handle.net/10356/78657 |
_version_ |
1759857743861121024 |