Quantum Computation - COM00168M

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  • Department: Computer Science
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2025-26

Module summary

The aim of this module is to introduce the theory of quantum computation. In it we will learn about the pioneering quantum algorithms that promise a qualitative leap in computation power over conventional computers.

Module will run

Occurrence Teaching period
A Semester 2 2025-26

Module aims

Introducing both the promise and limitations of quantum computation. Gate operations, evolving quantum states, calculating the result of measurements on quantum states, designing and analyzing quantum computational circuits, key algorithms (e.g., Shor's, Grover's and the Deutsch-Jozsa algorithms).

Module learning outcomes

  • Articulate both the promise and limitations of quantum computation

  • Apply some of the many concepts and techniques in quantum computation (e.g., applying gate operations and evolving quantum states, calculating the result of measurements on quantum states, designing and analyzing quantum computational circuits);

  • Explain some of the key algorithms (e.g., Shor's, Grover's and the Deutsch-Jozsa algorithms) and their implications, and are able to simulate these algorithms on quantum states.

  • Establish concepts and techniques in quantum information science (e.g., simulating quantum cryptography, evolving quantum states, teleportation, etc.)

Indicative assessment

Task % of module mark
Online Exam -less than 24hrs (Centrally scheduled) 100

Special assessment rules

None

Indicative reassessment

Task % of module mark
Online Exam -less than 24hrs (Centrally scheduled) 100

Module feedback

Feedback is provided through work in practical sessions, and after the final assessment as per normal University guidelines.

Indicative reading

*** G. Benenti, et al., Principles of Quantum Computation and Information, vol I, World Scientific, 2004

*** G. Benenti, et al., Principles of Quantum Computation and Information, vol II, World Scientific, 2007

*** P. Kaye, et al., An Introduction to Quantum Computing, Oxford University Press, 2007