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Durham University

Faculty Handbook 2022-2023

Module Description

Please ensure you check the module availability box for each module outline, as not all modules will run each academic year.

Department: Computer Science

COMP4117: QUANTUM COMPUTING

Type Open Level 4 Credits 10 Availability Available in 2022/23 Module Cap None. Location Durham

Prerequisites

  • COMP2181 Theory of Computation AND COMP2261 Artificial Intelligence

Corequisites

Excluded Combination of Modules

  • MATH3391: QUANTUM COMPUTING III

Aims

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

Content

  • Qubits and Quantum Key Distribution
  • Computing with Multiple Qubits
  • EPR paradox and Quantum State Transformations
  • Quantum Gates and Circuits
  • Quantum Algorithms
  • Quantum Networking

Learning Outcomes

Subject-specific Knowledge:
  • On completion of the module, students will be able to demonstrate:
  • an understanding of the fundamental notions from Quantum Information Processing
  • an understanding of the workings of Quantum algorithms
  • an understanding of the principles of Quantum networking
Subject-specific Skills:
  • On completion of the module, students will be able to demonstrate:
  • an ability to apply basic methods from Quantum Physics for the study and analysis of systems of Quantum Information Processing and Quantum Computing.
Key Skills:
  • On completion of the module, students will be able to demonstrate:
  • an ability to formalise computation problems in a variety of contexts
  • an ability to reason mathematically about information in a variety of ways.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Lectures enable the students to learn new material relevant to Quantum Computing.
  • Summative assessment assesses the application of methods and techniques.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
lectures 20 2 per week 1 hour 20
preparation and reading 80
total 100

Summative Assessment

Component: Examination Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
Examination 2 hours 100% No

Formative Assessment:

Example formative exercises are given during the course.


Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University



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