Course features

This module has a significant practical component, consisting of hands-on programming of quantum algorithms throughout the course to embed concepts with computational classes and project work. There will be both standalone classes to validate concepts, as well as practicals designed around the qiskit quantum emulation environment for constructing more complicated operators and quantum circuits to implement their own quantum algorithms. These will make up a significant portion of the assessment, with an individual computational project.

Possible topics could include:

• Fundamentals of quantum information: Bloch spheres, Hilbert space, unitary operations, reversability, superposition and measurement
• Entangled states: Tensor products, quantum operations, separable states, Bell states, universal gate sets, Schmidt decomposition
• Classical to quantum circuits and reversability
• Non-linearity in quantum computation
• Current hardware concepts, limitations and prospects
• Quantum algorithms: Deutsch-Jozsa, QFT, Phase estimation, Hamiltonian simulation
• Fidelity, noise and decoherence, entanglement entropy, entanglement as a resource
• Introduction to quantum cryptography/teleportation.

Learning outcomes

By the end of the module, you will be able to:

• Select and apply principles and concepts of quantum information processing appropriate to describe operations ranging from single qubit manipulation on the Bloch sphere to entangled multi-qubit setups, the underpinning state space, Pauli operators and the gates necessary for universal quantum computers
• Evaluate the limitations of quantum computation, projective/POVM measurements, using fundamental theorems such as no-cloning theorem, as well as the potential of quantum devices, synthesizing information from a diversity of sources in this rapidly expanding field
• Design circuit diagrams, their translation to/from matrix operations, and perform simple operations
• Demonstrate advanced understanding of the core aspects of key quantum algorithms, including Deutsch-Jozsa, quantum Fourier Transform and Hamiltonian simulation
• Demonstrate the ability to apply these principles into a practical framework, with hands-on programming in a quantum emulation environment to mimic and test the application of quantum algorithms.

Entry requirements

• A 2:2 honours degree or international equivalent in Physics: Quantum Mechanics
• Familiarity with linear algebra, complex numbers and python programming 
• A CV and personal statement outlining your reasons for study
• English language band D (for example, IELTS 6.5 overall with a minimum of 6.0 in each skill).

For information on our English language requirements please see our English Language requirements page.

Assessment

You will be assessed via coursework and an examination, as follows:

• Coursework = 30%
• Examination = 70%

Further information

This is an on-campus module so you will be expected to attend in person.

Please contact us for further information on module timetabling. The assessment period for this module will take place in January 2027.