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Curricular information is subject to change
The module has the following learning outcomes:
- Develop a better understanding of quantum gates and quantum circuit
- Develop a better understanding of quantum algorithms and quantum parallel computation
- Understand the limit of quantum computation due to decoherence
- Understand error correction and the concept of fault tolerant quantum computation
- Ability to understand and simulate quantum circuits
- Ability to understand quantum algorithms
- Introducing of variational quantum algorithms
- Leveraging quantum simulation frameworks to simulate and understand quantum algorithms
The following topics will be covered:
- Review of Quantum Mechanics: state vector and Hilbert space, Dirac notation, matrix mechanics, unitary Hermitian operators, time evolution through exponentiation)
- Review of Quantum Computing: single qubit quantum gate, quantum gates, quantum teleportation and Bell pair production, measurement
- Introduction to the Density Operator: density matrix vs. state vector, properties of density operator, pure and mixed states
- Time Evolution of Density Operators: Von Neumann equation, Lindblad equation, the concept of open quantum systems
- Noisy Quantum Computing: errors, decoherence
- Errors in Open Quantum Systems: quantum channels, amplitude-damping, phase-damping, depolarisation
- Quantum Information and Entropies: comparison with classical Information, Von Neumann entropy and derivatives, mutual information
- Error Suppression and Mitigation Strategies: error mitigation, error correction techniques, repetition code
- Canonical Quantum Algorithms: Quantum Fourier Transform (QFT), Shor’s Algorithm, Grover Search Algorithm
- Invited guest lectures on research in quantum computing
Student Effort Type | Hours |
---|---|
Lectures | 18 |
Tutorial | 24 |
Specified Learning Activities | 40 |
Autonomous Student Learning | 42 |
Total | 124 |
A student should be familiar with linear algebra and general physics course for physicists, engineers or computer scientists
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Project: Final project | Unspecified | n/a | Alternative linear conversion grade scale 40% | No | 30 |
Project: Mid-term project | Unspecified | n/a | Alternative linear conversion grade scale 40% | No | 30 |
Continuous Assessment: Specific homework assignments and jupyter notebooks to support lectures | Throughout the Trimester | n/a | Alternative linear conversion grade scale 40% | No | 40 |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Feedback individually to students, post-assessment
Not yet recorded.
Name | Role |
---|---|
Mr Conor Power | Lecturer / Co-Lecturer |