Electrical and Computer Engineering ETDs

Publication Date

Spring 5-16-2026

Abstract

The fundamental goal of quantum computing is to precisely control quantum systems to perform meaningful tasks, including implementing high-fidelity quantum gates for reliable quantum computation and accurately simulating complex quantum many- body dynamics. In this dissertation, we develop improved quantum control protocols for three distinct objectives, quantum error suppression, quantum optimal control, and analog quantum algorithms, achieving performance beyond standard approaches. First, we introduce new dynamical decoupling protocols, including both determin- istic and randomized constructions, that can substantially outperform conventional deterministic sequences. We then extend the randomized approach to dynamically corrected gates. Second, we propose a randomized quantum optimal control frame- work that offers advantages over deterministic optimal control protocols. Finally, we develop new control protocols for analog quantum algorithms to perform high-order Hamiltonian simulation and learning unknown quantum states.

Keywords

quantum computing, quantum control

Document Type

Dissertation

Degree Name

Computer Engineering

Level of Degree

Doctoral

Department Name

Electrical and Computer Engineering

First Committee Member (Chair)

Milad Marvian

Second Committee Member

Ivan Deutsch

Third Committee Member

Rafael Fierro

Fourth Committee Member

Tameem Albash

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