O'Leary, D.
and Bullock, S.
(2005),
QR Factorizations Using a Restricted Set of Rotations, Electronic Transactions on Numerical Analysis, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150891
(Accessed June 10, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
QR Factorizations Using a Restricted Set of Rotations
Published
Author(s)
,
Abstract
Any matrix of dimension m x n (m greater than or equal to n) can be reduced to upper triangular form by multiplying by a sequence of mn - n(n + 1) / 2 appropriately chosen rotation matrices. In this work, we address the question of whether such a factorization exists when the set of allowed rotation planes is restricted. We introduce the rotation graph as a tool to devise elimination orderings in QR factorizations. Properties of this graph characterize sets of rotation planes that are sufficient (or sufficient under permutation) and identify rotation planes to add to complete a deficient set. We also devise a constructive way to determine all feasible rotation sequences for performing the QR factorization using a restricted set of rotation planes. We present applications to quantum circuit design and parallel QR factorization.Citation
Electronic Transactions on Numerical Analysis
Volume
21
Pub Type
Journals
Download Paper
Keywords
Givens rotations, parallel QR decomposition, plane rotations, QR decomposition, quantum circuit design, qudits
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created January 5, 2005, Updated October 12, 2021