Algorithmic Design and Optimization for Quantum Computation with a Qubit-Oscillator System
Name
mintzer-gmintzer-meng-eecs-2024-thesis.pdf
Description
Thesis PDF
Size
11.91 MB
Format
Adobe PDF
Checksum (MD5)
c7f852d788145427f08cfbf0de144196
Author(s)
Mintzer, Gabriel L.
Advisor(s)
Chuang, Isaac L.
Date Issued
May 2024
Publisher
Massachusetts Institute of Technology
Abstract
Quantum computation has long been dominated by a digital approach using the qubit, which exists in a two-dimensional vector space, as its basic unit. More recently, there has been increasing interest in an analog approach, which uses as its basic unit a qudit in an infinite-dimensional vector space. Alongside these two approaches is a third less-studied approach, that of combining digital and analog quantum computation. This approach is perhaps best exemplified by, and most researched via, the system of a qubit coupled to a quantum harmonic oscillator, which has been realized with many of the leading platforms for quantum computation. In this thesis, we ask how machine learning and other high-level computational techniques can be employed in the design of applications of a qubit-oscillator system to implementing fundamental components of quantum technology. In order to begin to answer this question and lay the groundwork for future investigation, both with this system and with others, we demonstrate the application of such high-level computational techniques toward addressing the problems of quantum compilation, quantum sensing, and quantum error-correction with the qubit-oscillator system.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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