A classification of reversible bit and stabilizer operations
Name
927770602-MIT.pdf
Description
Full printable version
Size
3.38 MB
Format
Adobe PDF
Checksum (MD5)
d35aae9e87150bdc42828266c048ec86
Author(s)
Grier, Daniel
Advisor(s)
Scott Aaronson.
Date Issued
2015
Publisher
Massachusetts Institute of Technology
Abstract
This thesis is an exposition of a classification of classical reversible gates acting on bits in terms of the reversible transformations they generate, which was recently completed by the author, Scott Aaronson, and Luke Schaeffer. In particular, we present those portions of the classification which were the main contributions of the author. Most importantly, this thesis contains the proof that every non-affine gate generates a Fredkin gate, which was one of the main technical hurdles in completing the classification. Our classification can be seen as the reversible-computing analogue of Post's lattice, a central result in mathematical logic from the 1940s, where we allow arbitrary ancilla bits to be used in the computation provided they return to their initial configuration at the end of the computation. It is a step toward the ambitious goal of classifying all possible quantum gate sets acting on qubits. This thesis also gives preliminary results for the classification of stabilizer gates, which have garnered much attention due to their role in unifying many of the known quantum error-correcting codes. In the stabilizer setting, we generalize the classical model to allow the use of arbitrary stabilizer ancillas and show that this leads to several nonintuitive results. In particular, we show that the CNOT and Hadamard gates suffice to generate all stabilizer operations (whereas the phase gate is required in a more group theoretic setting); present a complete classification of the "classical" stabilizer operations; and give exact generating sets for the one-qubit stabilizer operations.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 63-64).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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