Quantum state discrimination and its applications
By Joonwoo Bae, Leong Chuan Kwek. 2015
376 citations recorded by the source corpus.
Quantum state discrimination underlies various applications in quantum information processing tasks. It essentially describes the distinguishability of quantum systems in different states, and the general process of extracting classical information from quantum systems. It is also useful in quantum information applications, such as the characterization of mutual information in cryptographic protocols, or as a technique for deriving fundamental theorems on quantum foundations. It has deep connections to physical principles such as relativistic causality. Quantum state discrimination traces a long history of several decades, starting with the early attempts to formalize information processing of physical systems such as optical communication with photons. Nevertheless, in most cases, the problems of finding optimal strategies of quantum state discrimination remain unsolved, and related applications are valid in some limited cases only. The present review aims to provide an overview on quantum state discrimination, covering some recent progress, and addressing applications in some selected areas. This review serves to strengthen the link between results in quantum state discrimination and quantum information applications, by showing the ways in which the fundamental results are exploited in applications and vice versa.
Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics
View Paper: https://www.semanticscholar.org/paper/d3f904104f67fc5642ec9701a282e160628eef4b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Maria Schuld
- Nathan Killoran
- M. Cerezo
- Patrick J. Coles
- Ryan Larose
- Brian Coyle
- Lukasz Cincio
- Josh A. Izaac
In Atomic and Molecular Physics, and Optics
Citations in the corpus
- Quantum machine learning models are kernel methods (2021, background): “In quantum information theory, this term usually refers to a very particular measurement called the Helstrom measurement (e.g., [28]).”