Scalable Quantum Compilation Approaches For Reliable Quantum Computing

Author

Vedika Saravanan, CUNY City CollegeFollow

Date of Award

2023

Document Type

Dissertation

Department

Engineering

First Advisor

Samah M Saeed

Abstract

Quantum computing has the potential to revolutionize various industries, from pharmaceuticals to finance and transportation. Unlike classical computers, quantum computers are based on the principles of quantum mechanics and can perform specific calculations exponentially faster than classical computers. However, quantum computing is still in its early stages of development. It faces several challenges, including the high rate of errors and the limited number of qubits in quantum hardware. Therefore, more efficient and scalable methods are needed to translate quantum algorithms into executable forms on a quantum computer. To overcome these challenges, several research efforts are underway to develop scalable noise-aware quantum compilation approaches that can enhance the reliability of quantum computers using minimal hardware resources and time.

The first key contribution of the research presented in this thesis is the development of predictive methodologies to improve the reliability of quantum circuits. They include probabilistic and Machine Learning (ML) reliability models applied to different quantum circuit design abstractions. They are designed to capture the impact of different quantum hardware errors on the output fidelity of quantum circuits. Our proposed models make real-time predictions of the output state fidelity of quantum circuits.

The second key contribution of this research is the development of compilation and error mitigation approaches that are driven by our proposed predictive techniques including gate rescheduling and idling qubits error mitigation. They are designed to suppress different types of errors. The research results demonstrate that analyzing the quantum circuit structure can play a vital role in mitigating errors in quantum circuits. The proposed approaches are validated on various quantum algorithms executed on real world IBM quantum machines. The results show that our approaches can better predict and improve the output fidelity of the quantum circuits in the presence of various errors in the quantum hardware.

Recommended Citation

Saravanan, Vedika, "Scalable Quantum Compilation Approaches For Reliable Quantum Computing" (2023). CUNY Academic Works.
https://academicworks.cuny.edu/cc_etds_theses/1141