Can I read Dealing with Ignorance: Universal Discrimination, Learning and Quantum Correlations on EtoBox?

Dealing with Ignorance: Universal Discrimination, Learning and Quantum Correlations by Sentís, Gael is a scholarly article available to read on EtoBox.

What is Dealing with Ignorance: Universal Discrimination, Learning and Quantum Correlations about?

The problem of discriminating the state of a quantum system among a number of hypothetical states is usually addressed under the assumption that one has perfect knowledge of the possible states of the system. In this thesis, I analyze the role of the prior information available in facing such problems, and consider scenarios where the information regarding the possible states is incomplete. In front of a complete ignorance of the possible states' identity, I discuss a quantum "programmable" discrimination machine for qubit states that accepts this information as input programs using a quantum encoding, rather than as a classical description. The optimal performance of these machines is studied for general qubit states when several copies are provided, in the schemes of unambiguous, minimum-error, and error-margin discrimination. Then, this type of automation in discrimination tasks is taken further. By realizing a programmable machine as a device that is trained through quantum information to perform a specific task, I propose a quantum "learning" machine for classifying qubit states that does not require a quantum memory to store the qubit programs and, nevertheless, performs as g

Author

Sentís, Gael

Published

2014

Language

EN