License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.COSIT.2019.16
URN: urn:nbn:de:0030-drops-111088
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11108/
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Bittner, Thomas

Why Classificatory Information of Geographic Regions Is Quantum Information (Vision Paper)

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LIPIcs-COSIT-2019-16.pdf (1 MB)


Abstract

This paper gives an information - theoretic argument in support of the claim that there is geographic quantum information. Quantum information is information in the sense of Shannon's information theory, that, in addition, satisfies two characteristic postulates. The paper aims to show that if the density of information (bits per unit of space) that is possible for classificatory geographic qualities is limited, then it follows that the two characteristic postulates of quantum information are satisfied for information about those geographic qualities.

BibTeX - Entry

@InProceedings{bittner:LIPIcs:2019:11108,
  author =	{Thomas Bittner},
  title =	{{Why Classificatory Information of Geographic Regions Is Quantum Information (Vision Paper)}},
  booktitle =	{14th International Conference on Spatial Information Theory (COSIT 2019)},
  pages =	{16:1--16:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-115-3},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{142},
  editor =	{Sabine Timpf and Christoph Schlieder and Markus Kattenbeck and Bernd Ludwig and Kathleen Stewart},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/11108},
  URN =		{urn:nbn:de:0030-drops-111088},
  doi =		{10.4230/LIPIcs.COSIT.2019.16},
  annote =	{Keywords: Information theory, quantum information, classification and delineation}
}

Keywords: Information theory, quantum information, classification and delineation
Collection: 14th International Conference on Spatial Information Theory (COSIT 2019)
Issue Date: 2019
Date of publication: 03.09.2019


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