Topics in Quantum Computing Architecture
Date
2018
Authors
Nguyen, Thien
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Abstract
Quantum computing, which is considered the next revolution of
computing technology, brings together theories of mathematics,
physics, and computer science. Building a quantum computer thus
requires a synthesis of knowledge and skills from multiple
disciplines. In this thesis, we take a step toward bridging and
connecting the full "stack" of quantum computing technology which
spans across theoretical foundations, hardware architecture,
software and simulation.
At the foundation level, we study one of the central problems of
quantum computing, namely quantum error correction, from a
control-engineering perspective. This approach not only
complements the conventional coding-based interpretation but also
provides a potential pathway to designing self-correcting quantum
computers. First, we analyse the surface-code quantum error
correction under a continuous feedback-based protocol. Second, we
study the fundamental question of self-correcting quantum systems
using the control method of reservoir engineering.
Next, we study the scalability of a generic surface code quantum
computer based on spin qubits such as quantum dots and donor
atoms. Solid-state qubits (quantum dots and donor atoms),
especially those that are Si-based, share similarities in device
structures and manufacturing processes with advanced
semiconductor CMOS industry. However, scaling up those quantum
devices present immense challenges related to connectivity. By
applying tools and methods from the semiconductor industry, we
can concretely estimate the routing limitation of a planar
connectivity scheme.
Finally, as part of my PhD education at the Australian National
University, I took part in an industry-based research internship
to develop a high-performance quantum simulator. We provide the
full description of the software architecture, implementation
details, and benchmarking results of the simulator.
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quantum computing, quantum control, quantum simulation
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Thesis (PhD)
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