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Massachusetts Institute of Technology

Effects of control error on an adiabatic quantum algorithm

Abstract

dc:description.abstract

Noise in adiabatic quantum computation can be modelled as a perturbation of the problem Hamiltonian. For a type of noise called control error, the perturbation can be considered to have the same structure as the problem Hamiltonian. If the problem Hamiltonian, and therefore the noise, are 2-local, then the result of the adiabatic algorithm can be simulated somewhat more efficiently than an algorithm with an arbitrary problem Hamiltonain. Using optimized numerical methods, I present an analysis of the effect of 1-local and 2-local control error on the success of an adiabatic algorithm that solves the agree problem. Furthermore, I examine how the maximum allowable noise, or success threshold, scales with the number of qubits. These analyses suggest the existence of a minimum success threshold for the particular algorithm considered in the presence of only 2-local noise on an arbitrarily large number of qubits, as well as a polynomial decrease in success threshold with the number of qubits.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Physics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2006

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Platt, Edward L
Advisor dc:contributor.advisor
  • Edward Farhi.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/36123
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/36123

Chain of custody

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MIT
Base URL
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Last updated
2026-07-22
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citation

Platt, Edward L. Effects of control error on an adiabatic quantum algorithm. Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36123