Back to results

Massachusetts Institute of Technology

Quantum State Discrimination with Overcompleteness

Abstract

dc:description.abstract

The central topics of this thesis are operating characteristics for binary hypothesis testing in classical and quantum settings and overcomplete quantum measurements for quantum binary state discrimination. With this we explore decision and measurement operating characteristics defined as the tradeoff between probability of detection and probability of false alarm as parameters are varied. The thesis specifically addresses the Neyman-Pearson optimality of receiver operating characteristics when they are generated using threshold tests on the score variable rather than threshold tests on the likelihood ratio. The analysis applies to any scalar score variable. In the quantum setting, informationally overcomplete POVMs are explored to provide more robust quantum binary state discrimination schemes. We focus on equal trace rank one or Etro POVMs, which can be specified by arrangements of points on a sphere that we refer to as an Etro sphere.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Medlock, Catherine Aiko
Advisor dc:contributor.advisor
  • Oppenheim, Alan V.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/139868
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/139868

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

Medlock, Catherine Aiko. Quantum State Discrimination with Overcompleteness. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/139868