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MSP3044

Quantum Information

  • Offered for Year: 2025/26
  • Module Leader(s): Dr Adam Stokes
  • Owning School: School of 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
ECTS Credits: 5.0

Aims

To introduce the subject of Quantum Information.

Outline Of Syllabus

Recap of classical computation and classical bits.

Qubits; two-level systems; Bloch sphere; unitary operators; measurements; extension to many qubits.

Quantum information topics: entanglement and Bell states, Bell inequality, quantum teleportation, quantum gates and circuits, quantum algorithms (Deutsch/Josza). Introduction to practical quantum technologies: quantum computing, quantum communication and quantum metrology.

Learning Outcomes

Intended Knowledge Outcomes

Students will gain knowledge of the basic principles and applications of quantum information.

Intended Skill Outcomes

Students will be able to solve simple problems in quantum information, quantum circuits and quantum communication.

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

CategoryActivityNumberLengthStudent HoursComment
Scheduled Learning And Teaching Activities Lecture 20 1:00 20:00 Formal lectures.
Scheduled Learning And Teaching Activities Lecture 2 1:00 2:00 Revision lectures.
Scheduled Learning And Teaching Activities Lecture 5 1:00 5:00 Problem classes.
Guided Independent Study Assessment preparation and completion 15 1:00 15:00 Completion of in course assessments.
Guided Independent Study Independent Study 58 1:00 58:00 Preparation time for lectures, background reading, coursework review.
Total       100:00  

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. Problem Classes are used to help develop the students’ abilities at applying the theory to solving problems.

Assessment Methods

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

Exams

ComponentLength (mins)SemesterWhen setPercentageComment
Written Examination 1 120 1 A 80 N/A

Other Assessments

ComponentSemesterWhen setPercentageComment
Problem solving exercises 1 1 M 6 Problem-solving exercises assessment.
Problem solving exercises 2 1 M 7 Problem-solving exercises assessment.
Problem solving exercises 3 1 M 7 Problem-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 the programme accreditation.

Examination 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