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Kennesaw State University

EFFICIENT APPROACHES FOR QUBIT MAPPING ON NISQ COMPUTERS

Abstract

dc:description.abstract

<p>—Quantum computing is gaining momentum in revolutionizing the way we approach complex problem-solving. However, the practical implementation of quantum algorithms remains a significant challenge due to the error-prone and hardware limits of near-term quantum devices. For instance, physical qubit connections are limited, which necessitates the use of quantum SWAP gates to dynamically transform the logical topology during execution. In addition, to optimize fidelity, it is essential to ensure that 1) the allocated hardware has a low error rate and 2) the number of SWAP gates injected into the circuit is minimized. To address these challenges, we propose a suite of algorithms: the Fidelity-aware Graph Extraction Algorithm (FGEA) is used to identify the hardware region with the lowest probability of error, the Frequency-based Mapping Algorithm (FMA) allocates logical-physical qubits that reduce the potential distance of topological transformation, and the Heuristic Routing Algorithm (HRA) searches for an optimal swapping injection strategy. We evaluate the proposed algorithms on the IBM-provided Noisy Intermediate-Scale Quantum (NISQ) computer, using a dataset consisting of 17 different quantum circuits of various sizes. The circuits are executed on the IBM Toronto Falcon processor. The three proposed algorithms outperform the existing SABRE algorithm in reducing the number of SWAP gates required. Therefore, our proposed algorithms hold significant promise in enhancing the fidelity and reducing the number of SWAP gates required in implementing quantum algorithms.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science in Computer Science (MSCS)
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Computer Science
Year dc:date.available
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Khandavilli, Sri Sesha Sailaja Lakshmi Tulasi
Contributors dc:contributor
  • Dr. Tu Nguyen
  • Dr. Yong Pei
  • Dr. Selena He

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.kennesaw.edu/cs_etd/55
OAI identifier oai:identifier
oai:digitalcommons.kennesaw.edu:cs_etd-1060

Chain of custody

source
Harvested from
Kennesaw State University
Base URL
digitalcommons.kennesaw.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Khandavilli, Sri Sesha Sailaja Lakshmi Tulasi. EFFICIENT APPROACHES FOR QUBIT MAPPING ON NISQ COMPUTERS. Thesis thesis, 2023. https://digitalcommons.kennesaw.edu/cs_etd/55