Module Catalogue 2024/25

PHY8044 : Quantum Information & Technology

PHY8044 : Quantum Information & Technology

  • Offered for Year: 2024/25
  • Module Leader(s): Dr Adam Stokes
  • Lecturer: Dr Obinna Abah, Dr Martin Johnston
  • Owning School: Mathematics, Statistics and Physics
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 1 Credit Value: 10
Semester 2 Credit Value: 10
ECTS Credits: 10.0
European Credit Transfer System
Pre-requisite

Modules you must have done previously to study this module

Code Title
PHY3020Advanced Quantum Mechanics
PHY3024Atoms, Molecules, and Nuclei
Pre Requisite Comment

N/A

Co-Requisite

Modules you need to take at the same time

Co Requisite Comment

N/A

Aims

This module aims to introduce students to the cutting-edge field of quantum technology, in which we learn how the peculiarities of quantum physics can be harnessed to come up with new ways of doing things such as compute, communicate and sense.

Outline Of Syllabus

This course will give an overview of quantum technology and quantum information theory, with an emphasis on quantum computing , quantum communication, and practical implementations. The topics covered include: Classical and quantum bits (qubits); Superposition and entanglement; Bell states and Bell inequality; Quantum gates and circuits; Quantum teleportation; Problem complexity and quantum speed-up; Quantum algorithms; Density matrix, pure and mixed states; Decoherence; Quantum error correction and key distribution; Practical quantum computers: requirements and realisations

Learning Outcomes

Intended Knowledge Outcomes

Students will develop a deeper understanding of fundamental quantum mechanics and how it can be used to provide new functionalities in the domains of computation, communication and sensing. Student will also gain insight into the various physical implementations of quantum technology, along with the associated issues.

Intended Skill Outcomes

Students will be able to apply the mathematical formulism of quantum information to analyse and design quantum circuits, and to solve problems related to each of the covered topics.

Students will develop skills across the cognitive domain (Bloom's taxonomy, 2001 revised edition): remember, understand, apply, analyse, evaluate and create.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion301:0030:00Completion of in course assignments
Scheduled Learning And Teaching ActivitiesLecture441:0044:00Formal Lectures
Guided Independent StudyIndependent study1261:00126:00Preparation time for lectures, background reading, coursework review
Total200:00
Teaching Rationale And Relationship

The teaching methods are appropriate to allow students to develop a wide range of skills, from understanding basic concepts and facts to higher-order thinking. Lectures are used for the delivery of theory and explanation of methods, illustrated with examples, and for giving general feedback on marked work.

Reading Lists

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination1502A80N/A
Other Assessment
Description Semester When Set Percentage Comment
Prob solv exercises1M15Problem-solving exercises assessment
Prob solv exercises2M5Problem-solving exercises assessment
Assessment Rationale And Relationship

A substantial formal unseen examination is appropriate for the assessment of the material in this module. The format of the examination will enable students to reliably demonstrate their own knowledge, understanding and application of learning outcomes. The assurance of academic integrity forms a necessary part of programme accreditation.

Exam problems may require a synthesis of concepts and strategies from different sections, while they may have more than one ways for solution. The examination time allows the students to test different strategies, work out examples and gather evidence for deciding on an effective strategy, while carefully articulating their ideas and explicitly citing the theory they are using.

The coursework assignments allow the students to develop their problem solving techniques, to practise the methods learnt in the module, to assess their progress and to receive feedback; these assessments have a secondary formative purpose as well as their primary summative purpose.

Timetable

Past Exam Papers

General Notes

N/A

Welcome to Newcastle University Module Catalogue

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Disclaimer

The information contained within the Module Catalogue relates to the 2024 academic year.

In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.

Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.