Abstract
In this work, we explore the challenges faced when creating quantum algorithms for near-term quantum computers. We examine the characteristics of problems that are amenable to such advantage, and the limitations of existing approaches. Additionally, we explore the importance of the classical optimizer in the Variational Quantum Eigensolver (VQE), and propose a Bayesian method to optimally configure a single parameter in a given quantum circuit. Experimental testing confirms that our method is significantly more tolerant to noise than the existing analytical approach and its variants (p < 0.008).
Committee Chair
Roman Garnett
Committee Members
Roman Garnett Ron Cytron Marco Pistoia
Degree
Master of Science (MS)
Author's Department
Computer Science & Engineering
Document Type
Thesis
Date of Award
Spring 5-15-2020
Language
English (en)
DOI
https://doi.org/10.7936/0p21-hp84
Author's ORCID
https://orcid.org/0000-0001-7317-2696
Recommended Citation
Rattew, Arthur, "Applying Bayesian Techniques to the Optimization of Parameterized Quantum Circuits" (2020). McKelvey School of Engineering Theses & Dissertations. 526.
The definitive version is available at https://doi.org/10.7936/0p21-hp84
Comments
Permanent URL: https://doi.org/10.7936/0p21-hp84