Publication Date

Spring 2024

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Engineering

Advisor

Hiu-Yung Wong; Nader Mir; Lili He

Abstract

In this work, we present a Python framework designed to demonstrate various error types within quantum circuits through the utilization of probabilistic data obtained from quantum computers. The framework serves as a valuable tool for monitoring and mitigating errors across all stages of quantum circuits involving multiple qubits and gates. Leveraging the Harrow-Hassidim-Lloyd (HHL) quantum circuit, we conduct an analysis of errors on an IBM quantum computer and subsequently optimize the circuit. The paper introduces an automated methodology for computing single bit-flip errors and propagation errors, and gate errors offering insights into opportunities for mitigating errors in the context of the HHL quantum circuit.

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