COMP54115: Quantum Computing

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• To introduce students to Quantum Information Processing, Quantum Computing, and Quantum Networking with emphasis on where these may be advantageous over the classical approach.

• Introduction to Quantum Mechanics.
• Notion of Qubits.
• Quantum Key Distribution.
• EPR Paradox.
• Quantum Gates and Circuits.
• Quantum Computing Algorithms.
• Introduction to Quantum Networking.
• Entanglement Swapping.
• Quantum Switch and Line-networks.
• Purification Protocols.
• Link-layer protocols.
• Entanglement distribution algorithms.

Subject-specific Knowledge:

• By the end of this module, students should be able to demonstrate:
• an understanding of Quantum Information and its properties.
• an understanding of quantum circuits and algorithms.
• an understanding of concepts and principles of Quantum Networking.
• knowledge of relevant software tools to implement quantum networks and algorithms.

Subject-specific Skills:

• By the end of this module, students should be able to demonstrate:
• an ability to apply concepts and principles of quantum computation and networking.
• an ability to analyse quantum algorithms.
• an ability to study quantum algorithms using relevant programming tools.

Key Skills:

• By the end of this module, students should be able to demonstrate:
• an ability to propose new quantum computing algorithms.
• an ability to model and analyse quantum networks.
• an ability to provide solutions to challenges in building Quantum Internet.

• Lectures enable the students to learn new material relevant to Quantum Computing and Quantum Networking.
• Problem classes introduce students to software used to implement quantum circuits and algorithms, as well as support the development of their coursework.
• Summative assessments assess the application of methods and techniques.
• Students are encouraged to explore some topic in detail and write a report about it.
• The assignment element of the coursework component consists of a coding exercise with accompanying report.

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