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Thesis

Practical quantum computing: error reduction techniques from software to hardware

Abstract:
This thesis presents multiple advances in the construction of noise-resistant quantum computers. In order to bridge the gap between abstract theory and practical experiments, my research encompasses a wide range of subfields within quantum computing, including error correction, silicon spin qubit physics and error mitigation. Firstly, I demonstrate that large-scale defects affecting entire regions of an error correcting code, such as cosmic rays or manufacturing defects, do not necessarily constitute a fundamental obstacle. Conversely, bespoke protocols that employ code deformation can be utilised to mitigate their impact, at a moderate resource overhead. Secondly, I investigate the feasibility of building a fault-tolerant silicon spin qubit quantum computer in the near term. I demonstrate that arranging the qubits in a 2×N array represents an effective methodology for the construction of error correcting codes, provided that the qubits can be shuttled with high fidelity. This expected characteristic of silicon spins can thus be utilised to circumvent the construction of complex dense 2D grids of qubits. Subsequently, I build upon the existing literature on the implementation of low-noise gates in silicon spin qubits, at the physical level this time. Specifically, I design a protocol for the individual control of silicon spin qubits, without the need for local magnetic fields targeting every qubit in the device. This simplification enables efficient control of silicon spins, whose single-qubit addressability was an identified bottleneck. Finally, I complement the above research with an error mitigation scheme targeted at the evaluation of eigenvalues with an early-fault-tolerant quantum computers. This scheme promises to alleviate the stringent resource costs of error correction, thereby paving the way for fault-tolerance in a nearer future.

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Institution:
University of Oxford
Division:
MPLS
Department:
Materials
Role:
Author

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Institution:
University of Oxford
Division:
MPLS
Department:
Materials
Role:
Supervisor
ORCID:
0000-0002-7766-5348


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


Language:
English
Keywords:
Subjects:
Deposit date:
2026-01-14
ARK identifier:

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