A method to quantify the error probability at the Kirchhoff-law-Johnson-noise (KLJN) secure key exchange is introduced. The types of errors due to statistical inaccuracies in noise voltage measurements are classified and the error probability is calculated. The most interesting finding is that the error probability decays exponentially with the duration of the time window of single bit exchange. The results indicate that it is feasible to have so small error probabilities of the exchanged bits that error correction algorithms are not required. The results are demonstrated with practical considerations.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3841199 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0081103 | PLOS |
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Injury, Recovery and Inflammation Sciences Academic Unit, School of Medicine and National Institute for Health and Care Research, Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK.
In this opinion piece, we examine the pivotal role that uncertainty quantification (UQ) plays in informing clinical decision-making processes. We explore challenges associated with healthcare data and the potential barriers to the widespread adoption of UQ methodologies. In doing so, we highlight how these techniques can improve the precision and reliability of medical evaluations.
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March 2025
Centre for Mathematical Medicine & Biology, School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK.
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Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, the Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
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Biom J
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Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China.
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