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2013/14 Taught Postgraduate Module Catalogue

PHYS5410M Quantum Information Science

15 creditsClass Size: 40

Module manager: Dr Viv Kendon
Email: v.kendon@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2013/14

Pre-requisite qualifications

PHYS3470 Quantum Computation
or
PHYS5810M Advanced Quantum Computation

Module replaces

PHYS5200M

This module is not approved as an Elective

Objectives

On completion of this module, students should be able to:

1. Appreciate the way that science and technology have developed hand in hand within the last 100 years or so and the importance of the basic ideas of quantum mechanics in relation to other ideas and concepts in science in general, and in information processing in particular. The course will contain a number of topics from thermodynamics, statistical mechanics, and information theory that will illustrate that quantum mechanics is an integral part of a much larger body of scientific knowledge. Most importantly by the end of the course, there should be an appreciation of how quantum computation forms an important part of our cultural heritage.

2. Become familiar with the basic ideas of how quantum physics describes information processing and be able to apply these i new situations. In particular to:
-- have an understanding of the basic principles of classical information and their application to derive various channel capacities;
-- be familiar with the ideas of generalised quantum measurement, completely positive maps which are very important in quantum mechanics;
-- be able to use the above to discuss various quantum information protocols, such as teleportation and super-dense coding;
-- analysis and discussion of two main quantum algorithms, database search and number factorisation.

These ideas will bring students to the forefront of current research. A number of more advanced topics will be discussed which will select particular areas of current research in the subject of quantum information and expand them in much more detail.

Skills outcomes
Listening attentively
Perceiving nonverbal messages
Creating ideas, identifying problems
Imagining alternatives
Gathering information
Solving problems
Extracting important information
Analysing, Cooperating, Listening, Managing time
Attending to detail
Meeting goals
Accepting responsibility
Making Decisions.


Syllabus

Classical bits
Entropy and Information
Data Compression
Quantum bits
Helstrom measurement
General measurement
Holevo bound
Entanglement
Bell's Inequalities
Dense Coding
Teleportation
Quantum Cryptography
Computational Complexity
Dutsch's Algorithm
Shor's algorthm
Interferomters as computers
Search Problem
Physical Implementations of quantum computation

Teaching methods

Delivery typeNumberLength hoursStudent hours
Example Class71.007.00
Visit51.005.00
Lecture111.0011.00
Private study hours127.00
Total Contact hours23.00
Total hours (100hr per 10 credits)150.00

Private study

127 hours

Opportunities for Formative Feedback

Via 7 problem solving sessions
Via 4 homework assignments (not assessed)

Methods of assessment


Exams
Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)2 hr 00 mins100.00
Total percentage (Assessment Exams)100.00

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

Reading list

The reading list is available from the Library website

Last updated: 25/02/2014

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