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Learning quantum state properties with quantum and classical neural networks
KTH, School of Engineering Sciences (SCI), Applied Physics.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2019.
Series
TRITA-SCI-GRU ; 2019:110
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-252693OAI: oai:DiVA.org:kth-252693DiVA, id: diva2:1320072
Available from: 2019-06-04 Created: 2019-06-04 Last updated: 2022-06-26Bibliographically approved

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a1f6ba2b9428f0dac795685d970e81279f3cdb96d132cb12cc897e778deea0513e18567f17d8677edbe2012d71f1d68e5ede02deab072c831626419e6e6e5c7b
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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
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  • rtf
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