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|Title:||Using quantum theory to simplify input–output processes||Authors:||Thompson, Jayne
Garner, Andrew J. P.
Information Theory and Computation
|Issue Date:||2017||Source:||Thompson, J., Garner, A. J. P., Vedral, V., & Gu, M. (2017). Using quantum theory to simplify input–output processes. npj Quantum Information, 3(1) 6-.||Series/Report no.:||npj Quantum Information||Abstract:||All natural things process and transform information. They receive environmental information as input, and transform it into appropriate output responses. Much of science is dedicated to building models of such systems—algorithmic abstractions of their input–output behavior that allow us to simulate how such systems can behave in the future, conditioned on what has transpired in the past. Here, we show that classical models cannot avoid inefficiency—storing past information that is unnecessary for correct future simulation. We construct quantum models that mitigate this waste, whenever it is physically possible to do so. This suggests that the complexity of general input–output processes depends fundamentally on what sort of information theory we use to describe them.||URI:||https://hdl.handle.net/10356/86645
|DOI:||http://dx.doi.org/10.1038/s41534-016-0001-3||Rights:||© 2017 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/||metadata.item.grantfulltext:||open||metadata.item.fulltext:||With Fulltext|
|Appears in Collections:||SPMS Journal Articles|
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