Specifications of the qualifications and experience required of staff

This module requires a lecturer holding a Master’s degree or higher, in a discipline with a significant programming/mathematics component. e.g. Computer Science, Mathematics, Computational Physics. Lecturer: Mr. Michael Bradford

Learning Outcomes

On successful completion of this module the learner will be able to:

#

Learning Outcome Description

LO1

Interpret and apply mathematical and quantum mechanical principles to qubit systems.

LO2

Critically assess the similarities and differences between quantum and classical computation.

LO3

Analyse computational problems and formulate solutions through the implementation of algorithms for quantum computers.

Dependencies

Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).

No recommendations listed

Co-requisite Modules

No Co-requisite modules listed

Entry requirements

A cognate level 8 degree.

Module Content & Assessment

Indicative Content

Introduction

Results from the theory of quantum mechanics. Spin and polarization. Measurements/Observables. Randomness and probability. Bits and Qubits. Quantum parallelism and interference.

Linear Vector Spaces and Hilbert Spaces

Review of linear spaces.. Hilbert spaces. Dirac notation. Operations and operators.

Matrix Representations

The Bloch Sphere. Pauli Matrices. Orthogonal and unitary matrices. Operations and operators. Eigenvectors and eigenvalues.

Quantum Hardware. Quantum Supremacy. Data Security.

Assessment Breakdown

%

Coursework

40.00%

End of Module Assessment

60.00%

Assessments

Full Time

Coursework

Assessment Type:

Continuous Assessment

% of total:

40

Assessment Date:

Week 8

Outcome addressed:

1,3

Non-Marked:

No

Assessment Description: Design and implement a QC circuit to model and solve problems.

Assessment Type:

Formative Assessment

% of total:

Non-Marked

Assessment Date:

n/a

Outcome addressed:

1,2,3

Non-Marked:

Yes

Assessment Description: Formative assessment will be undertaken utilising exercises and short answer questions during certain tutorials. In class discussions will be undertaken on contemporary topics. Feedback will be provided individually or as a group in oral format.

End of Module Assessment

Assessment Type:

Terminal Exam

% of total:

60

Assessment Date:

End-of-Semester

Outcome addressed:

1,2,3

Non-Marked:

No

Assessment Description: n/a

No Workplace Assessment

Reassessment Requirement

Repeat examination Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

Reassessment Description Learners who fail this module will be required to sit a repeat examination where all learning outcomes will be examined.

NCIRL reserves the right to alter the nature and timings of assessment

Module Workload

Module Target Workload Hours 0 Hours

Workload: Full Time

Workload Type

Workload Description

Hours

Frequency

Average Weekly Learner Workload

Lecture

Classroom & Demonstrations (hours)

24

Every Week

24.00

Tutorial

Other hours (Practical/Tutorial)

24

Every Week

24.00

Independent Learning

Independent learning (hours)

77

Every Week

77.00

Total Weekly Contact Hours

48.00

Module Resources

Recommended Book Resources

Michael A. Nielsen,Isaac L. Chuang. (2010), Quantum Computation and Quantum Information, Cambridge University Press, p.702, [ISBN: 9781107002173].

Bernard Zygelman. (2018), A First Introduction to Quantum Computing and Information, Springer, p.233, [ISBN: 3319916289].

N. David Mermin. (2007), Quantum Computer Science, Cambridge University Press, p.233, [ISBN: 0521876583].

Supplementary Book Resources

Chris Bernhardt. (2019), Quantum Computing for Everyone, MIT Press, p.216, [ISBN: 0262039257].

This module does not have any article/paper resources