A Simulation Framework to Understand the Error Generation and Propagation of Quantum Algorithms
Year: 2024
Type: dissertation
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.
Author: Anika Zaman
Institution: San Jose State University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Funder: San José State University
OpenAlex ID: W4401725504