Preprint
Article
Entropic Updating of Probability and Density Matrices
This version is not peer-reviewed.
Submitted:
02 November 2017
Posted:
03 November 2017
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Abstract
We find that the standard relative entropy and the Umegaki entropy are designed for the purpose of inferentially updating probability and density matrices respectively. From the same set of inferentially guided design criteria, both of the previously stated entropies are derived in parallel. This formulates a quantum maximum entropy method for the purpose of inferring density matrices in the absence of complete information.
Keywords:
probability theory; entropy; quantum relative entropy; quantum information; quantum mechanics; inference
Subject:
Physical Sciences - Quantum Science and TechnologyCopyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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