QF-201 · Applied course

Mathematics for Quantum Technologies

Calculate state evolution and measurement probabilities using vectors, matrices and tensor products.

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StateMeasurementGeometry · probability · information

Preparation and learning goals

Entry requirements

Basic algebra and probability; introductory quantum concepts. A linear algebra refresher is included in the proposed scope.

What you will work towards

Calculate state evolution and measurement probabilities using vectors, matrices and tensor products.

The practical task asks you to apply the concepts, justify your choices and communicate the assumptions and limits of your result.

Course outline

MODULE 01

Complex vector spaces

MODULE 02

operators and eigenvalues

MODULE 03

tensor products, basis changes and the Born rule

The outline defines this course’s intended scope. The detailed teaching sequence and preparation materials will be confirmed for the agreed delivery.

Practical work

A reproducible notebook that verifies normalisation, applies unitary operations and compares predicted probabilities.

Technical work is based on simulation, calculation or protocol analysis. Hardware access and laboratory sessions require a separately confirmed arrangement.

Assessment and feedback

The proposed review criteria are conceptual accuracy, a defensible method, clear evidence and appropriate treatment of assumptions and uncertainty.

Assessment format and feedback arrangements will be agreed before booking. No accreditation or external certification is claimed.

Discuss delivery and preparation

This is a course outline available for enquiry. Instructor, dates, duration, delivery format, fees and any hardware requirements will be confirmed in a written proposal before a booking is made.

Tell us whether you are learning independently, developing a team or planning research training. Submitting this form does not create a booking or payment obligation.

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Mathematics for Quantum Technologies · Applied

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