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2019/20 Taught Postgraduate Module Catalogue

PHYS5411M Quantum Information Science and Technology

15 creditsClass Size: 60

Module manager: Prof Ben Varcoe

Taught: Semester 1 View Timetable

Year running 2019/20

Module replaces

PHYS5410M Quantum Information SciencePHYS5810M Advanced Quantum Computation

This module is not approved as an Elective


On completion of this module, students should be able to describe the applications and limitations of classical information theory and the processes of quantum communications. They will be able to solve numerical examples of problems in transmission of quantum information through noisy channels. They will be able to explain, quantitatively, the fundamental processes of quantum entanglement. They will be able to describe the application of quantum measurements and entanglement to quantum key distribution and quantum metrology, and appreciate the hardware and algorithmic requirements for quantum computation.

Learning outcomes
Demonstrate an understanding of most fundamental laws and principles of physics, along with their application to a variety of areas in physics, some of which are at (or are informed by) the forefront of the discipline. Specificaly :
- Classical and quantum information theory basics
- Applications of quantum information theory to quantum technology, including:
- Quantum key distribution
- Quantum metrology
- Structure and design of quantum algorithms.
- Main implementation schemes of quantum computation;
Solve advanced problems in physics using appropriate mathematical tools;
Use mathematical techniques and analysis to model physical behaviour and interpret mathematical descriptions of physical phenomena;
Communicate complex scientific ideas concisely, accurately and informatively;
Manage own learning and make use of appropriate texts, research articles and other primary sources.


Classical Bits
Entropy and Information
Data Compression
Noisy Channels
Quantum Bits
Helstrom Measurement
General measurement
Holevo bound
Quantum Entanglement
Bell's Inequalities
Dense Coding
Quantum Cryptography
Quantum Metrology
Computational Complexity
Quantum Algorithms
Physical Implementations of Quantum Computation

Teaching methods

Delivery typeNumberLength hoursStudent hours
Private study hours128.00
Total Contact hours22.00
Total hours (100hr per 10 credits)150.00

Private study

128 hours

Methods of assessment

Assessment typeNotes% of formal assessment
Total percentage (Assessment Coursework)20.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)2 hr 30 mins80.00
Total percentage (Assessment Exams)80.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

There is no reading list for this module

Last updated: 05/11/2019 08:50:00


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