Unlearning quantum information
European Physical Journal D, ISSN: 1434-6079, Vol: 68, Issue: 9
2014
- 2Citations
- 23Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Measurement can drive quantum dynamics, for example in ancilla driven quantum computation where unitary evolution is generated by measurements that extract no information. Where a measurement does reveal some information about the system, it may sometimes be possible to "unlearn" this information and restore unitary evolution through subsequent measurements. Here we analyse two methods of quantum "unlearning" and present a simplified proof of the bound on the probability of successfully applying the required correction operators. The probability of successful recovery is inversely related to the ability of the initial measurement to exclude the possibility of a state. As a consequence there exist unrecoverable measurements that provide little information gain.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84920417293&origin=inward; http://dx.doi.org/10.1140/epjd/e2014-50429-3; http://link.springer.com/10.1140/epjd/e2014-50429-3; http://link.springer.com/content/pdf/10.1140/epjd/e2014-50429-3; http://link.springer.com/content/pdf/10.1140/epjd/e2014-50429-3.pdf; http://link.springer.com/article/10.1140/epjd/e2014-50429-3/fulltext.html; https://dx.doi.org/10.1140/epjd/e2014-50429-3; https://link.springer.com/article/10.1140/epjd/e2014-50429-3
Springer Science and Business Media LLC
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