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Massachusetts Institute of Technology

Operational quantum resource theories : unified framework and applications

Abstract

dc:description.abstract

A major goal of quantum information science is to understand the relation between the properties of quantum features and the enhancements to information processing tasks enabled by them. In particular, precise quantitative descriptions of quantum phenomena have become increasingly important not only for theoretical interest but also from a practical point of view as the recent technological advances have provided access to systems on small scales, in which quantum effects play major roles. As a platform to offer such quantitative treatments, quantum resource theory has been developed. This is an operationally motivated framework, which systematically deals with quantication and manipulation of the quantum effects by considering the quantities of interest as precious "resources" that cannot be freely created by the given sets of operations.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Physics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Takagi, Ryuji (Physicist)
Advisor dc:contributor.advisor
  • Lloyd, Seth

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/145865
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/145865

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Takagi, Ryuji (Physicist). Operational quantum resource theories : unified framework and applications. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/145865