| dc.contributor.advisor | Oliver, William D. | |
| dc.contributor.advisor | Grover, Jeffrey A. | |
| dc.contributor.author | Pahl, Lukas | |
| dc.date.accessioned | 2025-11-17T19:06:42Z | |
| dc.date.available | 2025-11-17T19:06:42Z | |
| dc.date.issued | 2025-05 | |
| dc.date.submitted | 2025-08-14T19:32:49.500Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/163676 | |
| dc.description.abstract | The ability to coherently and reliably manipulate quantum information marks a fundamental technological leap—realizable through a universal, fault‑tolerant quantum computer. Achieving this goal requires progress across all layers of the quantum computing stack, from physical qubits to theoretical algorithms. In this work, we address multiple layers of this stack. We develop a software architecture for scalable device calibration using modular calibration graphs. We introduce real‑time frequency stabilization techniques, demonstrating improved single‑qubit gate fidelities and progress toward multiqubit feedback. Finally, we explore how quantum error correction overhead can be reduced using low‑density parity‑check codes. We present logical protocols for a non‑local nine‑qubit code, which significantly outperforms comparable surface code implementations in both qubit efficiency and computational capability. These results represent practical steps toward overcoming key challenges in fault‑tolerant quantum computing. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | In Copyright - Educational Use Permitted | |
| dc.rights | Copyright retained by author(s) | |
| dc.rights.uri | https://rightsstatements.org/page/InC-EDU/1.0/ | |
| dc.title | Calibration and Control of Superconducting Qubits for Low‑Overhead Quantum Error Correction | |
| dc.type | Thesis | |
| dc.description.degree | S.M. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Science in Electrical Engineering and Computer Science | |