Hybrid classical-quantum dose computation method for radiation therapy treatment planning Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/ww72bg09s

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Radiation therapy treatment planning and optimization requires accurate, precise, and fast computation of absorbed dose to all critical and target volumes in a patient. A new method for speeding up the computational costs of Monte Carlo dose calculations is described that employs a hybrid classical-quantum computing architecture. Representative results are presented from computer simulations using modified and unmodified versions of the Dose Planning Method (DPM) Monte Carlo code. The architecture and methods may be extended to sampling arbitrary discrete probability density functions using quantum bits with application to many fields.
Resource Type
Date Available
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Non-Academic Affiliation
Keyword
Subject
Rights Statement
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2013-06-19T18:56:42Z (GMT) No. of bitstreams: 1 ColburnGabrielG2013.pdf: 1169603 bytes, checksum: b2165543630f680bf03e082b314c2d27 (MD5)
  • description.provenance : Made available in DSpace on 2013-07-02T18:26:40Z (GMT). No. of bitstreams: 1 ColburnGabrielG2013.pdf: 1169603 bytes, checksum: b2165543630f680bf03e082b314c2d27 (MD5) Previous issue date: 2013-05-31
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2013-07-02T18:26:40Z (GMT) No. of bitstreams: 1 ColburnGabrielG2013.pdf: 1169603 bytes, checksum: b2165543630f680bf03e082b314c2d27 (MD5)
  • description.provenance : Submitted by Gabriel Colburn (colburng@onid.orst.edu) on 2013-06-13T02:16:28Z No. of bitstreams: 1 ColburnGabrielG2013.pdf: 1169603 bytes, checksum: b2165543630f680bf03e082b314c2d27 (MD5)

Relationships

In Administrative Set:
Last modified: 08/22/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items