
Measures and Applications of Quantum Correlations
by G. Adesso, T.R. Bromley, M. Cianciaruso
Publisher: arXiv 2016
Number of pages: 75
Description:
In this work we give an overview of the current quest for a proper understanding and characterisation of the frontier between classical and quantum correlations in composite states. We focus on various approaches to define and quantify general quantum correlations, based on different yet interlinked physical perspectives, and comment on the operational significance of the ensuing measures for quantum technology tasks such as information encoding, distribution, discrimination and metrology.
Download or read it online for free here:
Download link
(1.2MB, PDF)
Similar books
Quantum Information: primitive notions and quantum correlationsby Valerio Scarani - arXiv
I rapidly review the basic notions of quantum physics and many primitives of quantum information. The second part is devoted to a detailed introduction to the topic of quantum correlations, covering the evidence for failure of alternative theories...
(7876 views)
Handbook of Quantum Information- Quantiki
An encyclopedia of everything quantum. Sections: Mathematical Structure; Quantum States; Evolution and Operations; Entanglement; Quantum Information Theory; Quantum Discord; Quantum Communication; Quantum Cryptography; Quantum Computation; etc.
(11607 views)
An Introduction to Many Worlds in Quantum Computationby Clare Hewitt-Horsman - arXiv
This paper introduces one interpretation of quantum mechanics, a modern 'many-worlds' theory, from the perspective of quantum computation. Reasons for seeking to interpret quantum mechanics are discussed, then the specific theory is introduced.
(16223 views)
Quantum Information and Computationby John Preskill - California Institute of Technology
We will study the properties that distinguish quantum information from classical information. And we will see how these properties can be exploited in the design of quantum algorithms that solve certain problems faster than classical algorithms can.
(10343 views)