Contact Info
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext. 32700
Fax: 519-746-4319
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QNC B204
Arnaud Carignan-Dugas | Applied Math, University of Waterloo
A walk through quantum noise: a study of error signatures and characterization methods
The construction of large scale quantum computing devices might be one of the most exciting and promising endeavors of the 21st century, but it also comes with many challenges. As quantum computers are supplemented with mo registers, their error profile generally grows in complexity, rendering the enterprise of quantifying the reliability of quantum computations increasinglydifficult through naive characterization techniques. In the last decade, a lot of efforts has been directed toward developing highly scalable benchmarking schemes. A leading family of characterization methods built upon scalable principles is known as randomized benchmarking (RB).
In this thesis, many tools are presented with the objective of improving the scalability, and versatility of RB techniques, as well as demonstrating their reliability under various error models.
The first part of this work investigates the connection between the error of individual circuit components and the error of their composition. Before reasoning about intricate circuit constructions, it is shown that their exists a well-motivated way to define discrete decoherent processes, and that every channel can be factorized into a unitary-decoherent composition. This dichotomy carries to the circuit evolution of commendable error parameters by assuming realistic error scenarios. Those results allow to improve the confidence interval of RB diagnoses and allow to reconcile experimentally estimated parameters with physically and operationally meaningful quantities.
In the second part of this thesis, various RB schemes are either developed or more rigorously analyzed. A first result consists of the introduction of ``dihedral benchmarking'', a technique which, if performed in conjunction with standard RB protocols, enables the characterization of operations that form a universal gate-set. Finally, rigorous analysis tools are provided to demonstrate the reliability of a highly scalable family of generator-based RB protocols known as direct RB.
Contact Info
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext. 32700
Fax: 519-746-4319
PDF files require Adobe Acrobat Reader
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations.