Applications of the Quantum Kernel Method on a Superconducting Quantum Processor
| dc.contributor.author | Peters, Evan | |
| dc.date.accessioned | 2020-05-29T20:59:42Z | |
| dc.date.available | 2021-05-30T04:50:08Z | |
| dc.date.issued | 2020-05-29 | |
| dc.date.submitted | 2020-05-28 | |
| dc.description.abstract | The widespread benefits of classical machine learning along with promised speedups by quantum algorithms over their best performing classical counterparts have motivated development of quantum machine learning algorithms that combine these two approaches. Quantum Kernel Methods (QKMs) [22, 49] describe one such combination, which seeks to leverage the high dimensional Hilbert space over quantum states to perform classification on encoded classical data. In this work I present an analysis of QKM algorithms used to encode and classify real data using a quantum processor, aided by a suite of custom noise models and hardware optimizations. I introduce and validate techniques for error mitigation and readout error correction designed specifically for this algorithm/hardware combination. Though I do not achieve high accuracy with one type of QKM-based classifier, I provide evidence for possible fundamental limitations to the QKM as well as hardware limitations that are unaccounted for by a reasonable Markovian noise model. | en |
| dc.identifier.uri | http://hdl.handle.net/10012/15962 | |
| dc.language.iso | en | en |
| dc.pending | false | |
| dc.publisher | University of Waterloo | en |
| dc.subject | quantum machine learning | en |
| dc.subject | quantum computing | en |
| dc.subject | machine learning | en |
| dc.title | Applications of the Quantum Kernel Method on a Superconducting Quantum Processor | en |
| dc.type | Master Thesis | en |
| uws-etd.degree | Master of Science | en |
| uws-etd.degree.department | Physics and Astronomy | en |
| uws-etd.degree.discipline | Physics (Quantum Information) | en |
| uws-etd.degree.grantor | University of Waterloo | en |
| uws-etd.embargo.terms | 1 year | en |
| uws.comment.hidden | I am the sole author of all images contained in this thesis, and no original work in this thesis has been previously published. | en |
| uws.contributor.advisor | Kempf, Achim | |
| uws.contributor.affiliation1 | Faculty of Science | en |
| uws.peerReviewStatus | Unreviewed | en |
| uws.published.city | Waterloo | en |
| uws.published.country | Canada | en |
| uws.published.province | Ontario | en |
| uws.scholarLevel | Graduate | en |
| uws.typeOfResource | Text | en |