Special Issue "Quantum Statistical Inference"
A special issue of Axioms (ISSN 2075-1680).
Deadline for manuscript submissions: closed (31 March 2015)
Dr. James D. Malley
Research Mathematical Statistician Building 12A, Room 2052 Mathematical and Statistical Computing Laboratory Division of Computational Bioscience Center for Information Technology National Institutes of Health Bethesda, MD 20892 USA
As quantum information theory advances, as new experimental quantum protocols are devised, and as the reality of practical quantum computing approaches, it is important to match these developments with appropriate statistical and data analysis methods. For this Special Issue the topic is understood to cover: advances in the probabilistic foundations of quantum mechanics; new developments for statistical methods and data analysis of quantum outcomes; quantum information perspectives on the analysis quantum outcomes and experiment; examination of classical statistical methods that have possible application to quantum outcomes and decisions, such as quantum based statistical learning machines, and Bayesian quantum state estimation. The emphasis in this Special Issue will be on experiment and applications of theory that advance our understanding of what quantum data can mean and how it might be used. More speculative revisions of the foundations of quantum mechanics are not obviously included in this discussion, unless grounded in current experiment or near term realizations of the proposed ideas and methods.
Dr. James D. Malley
Manuscript Submission Information
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