{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T18:24:39Z","timestamp":1765045479868,"version":"build-2065373602"},"reference-count":43,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,5,26]],"date-time":"2021-05-26T00:00:00Z","timestamp":1621987200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computers"],"abstract":"<jats:p>Communication networks are managed more and more by using artificial intelligence. Anomaly detection, network monitoring and user behaviour are areas where machine learning offers advantages over more traditional methods. However, computer power is increasingly becoming a limiting factor in machine learning tasks. The rise of quantum computers may be helpful here, especially where machine learning is one of the areas where quantum computers are expected to bring an advantage. This paper proposes and evaluates three approaches for using quantum machine learning for a specific task in mobile networks: indoor\u2013outdoor detection. Where current quantum computers are still limited in scale, we show the potential the approaches have when larger systems become available.<\/jats:p>","DOI":"10.3390\/computers10060071","type":"journal-article","created":{"date-parts":[[2021,5,26]],"date-time":"2021-05-26T10:30:32Z","timestamp":1622025032000},"page":"71","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Indoor\u2013Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4580-7521","authenticated-orcid":false,"given":"Frank","family":"Phillipson","sequence":"first","affiliation":[{"name":"Department of Cyber Security and Robustness, The Netherlands Organisation for Applied Scientific Research, 96800 The Hague, The Netherlands"}]},{"given":"Robert S.","family":"Wezeman","sequence":"additional","affiliation":[{"name":"Department of Cyber Security and Robustness, The Netherlands Organisation for Applied Scientific Research, 96800 The Hague, The Netherlands"}]},{"given":"Irina","family":"Chiscop","sequence":"additional","affiliation":[{"name":"Department of Cyber Security and Robustness, The Netherlands Organisation for Applied Scientific Research, 96800 The Hague, The Netherlands"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Wang, W., Chang, Q., Li, Q., Shi, Z., and Chen, W. 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