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Quantum Computing (BM)


Admission Requirements

Prior knowledge on quantum mechanics may be helpful but is not necessary; familiarity with complex numbers and linear algebra is sufficient.


We introduce and study the mathematics of quantum information science (which brings together quantum mechanics and theoretical computer science) with a focus on computational aspects. We show how the laws of quantum mechanics give rise to a new model of computation, and we discuss several computational problems that can be solved more efficiently in this model of quantum computation. The most well known example is Shor’s algorithm for factoring large integers, which is explained towards the end of the course.

Course objectives

The goal of the course is to familiarize the students with the basic concepts of quantum computing, and to offer an in-depth understanding of certain quantum algorithms. After successful completion of the course, the student should be able to read research articles in the field.


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Mode of instruction

Lectures, homework exercises, and some home study.

Assessment method

The examination consists of homework and an oral (retake) exam. The homework counts as a practical. There is no retake for it and it is evaluated on the basis of pass/fail. A pass is required to take part in the exam. The homework does not count towards the final grade, which is based only on the exam.

Reading list

Lecture notes will be provided (online) during the course. No additional literature is needed.


From the academic year 2022-2023 on every student has to register for courses with the new enrollment tool MyStudyMap. There are two registration periods per year: registration for the fall semester opens in July and registration for the spring semester opens in December. Please see this page for more information.

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