kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Developing an educational tool for simulations of quantum key distribution systems
KTH, School of Engineering Sciences (SCI).
KTH, School of Engineering Sciences (SCI).
2023 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Quantum key distribution (QKD) is the idea of using quantum systems to securely communicate a shared encryption key between two parties. In contrast to classical methods of encryption, QKD utilizes fundamental quantum properties such as superposition and entanglement to encode information in a way that guarantees security. Most QKD systems are based on sending photons in an optical fiber where the polarisation of the photons is the quantum property used to encode information. The different algorithms used to do this are referred to as QKD protocols. This thesis aimed to construct an educational tool to simulate simple QKD systems using four common QKD protocols, where the user can vary system parameters and study its effect on the results. Furthermore, the aim was to be able to produce simulation results that are accurate enough to provide a first approximation of how a real experimental setup would perform. The program was built in Python using the Qiskit library and all the desired features were implemented in a graphical interface. For one of the implemented protocols (BB84) the simulation results were compared to experimental data from a QKD experiment in Copenhagen, which indicated that the program is able to produce a useful first approximation of a real experimental setup. The program could be further improved by allowing for simulations of more complex systems.

Place, publisher, year, edition, pages
2023.
Series
TRITA-SCI-GRU ; 2023:162
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-331117OAI: oai:DiVA.org:kth-331117DiVA, id: diva2:1780183
Subject / course
Applied Physics
Educational program
Master of Science in Engineering -Engineering Physics
Supervisors
Examiners
Available from: 2023-07-05 Created: 2023-07-05 Last updated: 2023-07-05Bibliographically approved

Open Access in DiVA

fulltext(957 kB)702 downloads
File information
File name FULLTEXT01.pdfFile size 957 kBChecksum SHA-512
8dbf34e67027b1dd9f437b4d994edbdba04de772ce64872c7c9c3f5b928313ef928984755dc4e5295c9efdedd1dd00d70d9328334089c115ed9c65815adf0d8b
Type fulltextMimetype application/pdf

By organisation
School of Engineering Sciences (SCI)
Physical Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 702 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1123 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf