| dc.contributor.advisor | Oliver, William D. | |
| dc.contributor.advisor | Grover, Jeffrey A. | |
| dc.contributor.author | Pahl, David | |
| dc.date.accessioned | 2025-11-17T19:07:11Z | |
| dc.date.available | 2025-11-17T19:07:11Z | |
| dc.date.issued | 2025-05 | |
| dc.date.submitted | 2025-08-14T19:32:32.819Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/163685 | |
| dc.description.abstract | This thesis investigates the simulation and design of the hardware architecture required for large‑scale quantum error correction (QEC). Specifically, we design microwave circuits for fast and high‑fidelity readout and devise a long‑range coupler (LRC) that spans five qubit lattice sites, suitable for low‑overhead quantum low‑density parity‑check (qLDPC) codes [1]. We present a prototypical nine‑qubit qLDPC code incorporating two long‑ range couplers and optimized readout circuits, achieving state‑of‑the‑art readout fidelities of up to 99.63% in 56 ns and demonstrating strong, well‑targeted couplings mediated by the LRC. Our simulations employ an efficient microwave abstraction based on ABCD transfer matrices, modeling complete qubit devices as networks of circuit elements. We use this formalism to develop a closed‑loop optimization algorithm that determines optimal readout parameters in seconds. The ABCD framework also accurately captures the multi‑mode behavior of the LRC, offering a valuable tool for developing large‑scale, low‑ overhead QEC devices. | |
| 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 | Simulation and Design of Quantum Processors 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 | |