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Quantum Information and Communication (COMP0196)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Computer Science
Credit value
15
Restrictions
Module delivery for UG Masters (FHEQ Level 7) available on MEng Computer Science; MEng Mathematical Computation.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Aims:

In this module, students will develop their understanding of the fundamental concepts and techniques of quantum information science, building on those covered in Quantum Computation (COMP0157). The aims are to capacitate students to understand and reason with quantum mechanics, and to introduce the basics of quantum cryptography, fault-tolerant quantum computation and quantum communication networks.

Intended learning outcomes:

On successful completion of the module, a student will be able to:

  1. Understand the mathematical structure of quantum mechanics and perform calculations with it.
  2. Analyze some of the building blocks of quantum information (teleportation, no-cloning, dense coding, and Bell inequalities) and understand the advantages that they provide over classical information.
  3. Analyze and prove the security of some quantum key distribution protocols.
  4. Analyze some quantum error correction codes and understand the basics of fault-tolerant quantum computation.
  5. Understand how to reliably send classical and quantum information through quantum networks.

Indicative content:

The following are indicative of the topics the module will typically cover:

  • Quantum mechanics.
  • Quantum teleportation and dense coding.
  • Quantum cryptography.
  • Quantum error correcting codes.
  • Quantum communication networks.

Requisites:

To be eligible to select this module as an optional or elective, a student must: (1) be registered on a programme and year of study for which it is a formally available; and (2) have passed Quantum Computation (COMP0157) with a mark of 40% or greater.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Exam
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
11
Module leader
Dr Lluis Masanes
Who to contact for more information
cs.undergraduate-students@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.

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