Abstract
Quantum computing promises to solve some problems that are intractable by classical computers. Several quantum processors based on different technologies and consisting of a few tens of noisy qubits have already been developed. However, qubits are fragile as they tend to decohere extremely quickly and quantum operations are faulty, making reliable computation very difficult. Moreover, quantum processors have hardware constraints such as limited qubit connectivity and shared classical control, making quantum algorithms not directly executable. This thesis focuses on some of the challenges of the implementation of quantum algorithms on near-termintermediate-scale and future large-scale quantum processors. More precisely, it investigates how to perform reliable quantum computation using fault-tolerant protocols and how to execute quantum algorithms on hardware-constrained processors using circuit-mapping techniques.
Original language | English |
---|---|
Qualification | Doctor of Philosophy |
Awarding Institution |
|
Supervisors/Advisors |
|
Award date | 2 Dec 2019 |
Print ISBNs | 978-94-028-1838-3 |
DOIs | |
Publication status | Published - 2019 |
Keywords
- Fault-tolerant quantum computing
- Quantum error correction
- Quantum circuit mapping
- Quantum computer architecture
- Surface code