Quantum computing – a broad perspective, 3 credits

Quantum computing – ett brett perspektiv

Course information

Language of instruction: English
Course period: HT 2024
Course structure: Campus teaching

Recommended prerequisites

Basic math and statistics

Learning outcomes

Describe basics of quantum computing
Explain the opportunities and limitations of quantum computing
Explain and evaluate one of the sub-fields of quantum computing

Learning outcomes for doctoral degree

A1: Demonstrate broad knowledge and systematic understanding of the research field: The course will broaden the knowledge of the PhD students in the field of quantum computing
A2: Demonstrate familiarity with research methodology in general: PhD students will get exposed to new research methodologies that are typically different from their own field
B1: Demonstrate the capacity for scholarly analysis and synthesis as well as to review and assess new and complex phenomena, issues and situations autonomously and critically: Students need to present in a seminar
B4: Demonstrate the ability in both national and international contexts to present and discuss research and research findings authoritatively in speech: This also happens in the seminars in a national context where the students will get feedback from their peers as well as teachers
C2: Demonstrate specialised insight into the possibilities and limitations of science, its role in society and the responsibility of the individual for how it is used: Ethical implications of quantum computation applications are one of the planned guest lectures

Course contents

- quantum computing background
- quantum machine learning and applications (examples: chemistry and physics)
- quantum cryptography and security
- quantum networking
- the commercial and societal opportunities of quantum computing

Instruction

The course will start with a basic introduction to quantum computing given by an expert in the field. After the introduction, there will be guest lectures by experts on different subfields of quantum computing as described above. After the introduction, students can choose one of the topics, self-study the topic in some depth and create a presentation that they present in the seminar series.

Assessment

The students will read scientific papers in one of the areas of quantum computing and present them in seminars to other students.

Course examiner

Thiemo Voigt (thiemo.voigt@angstrom.uu.se)

Department with main responsibility

Department of Electrical Engineering

Contact persons

Thiemo Voigt (thiemo.voigt@angstrom.uu.se)
Ayca Özcelikkale (ayca.ozcelikkale@angstrom.uu.se)
Christian Rohner (christian.rohner@it.uu.se)

Application

Submit the application for admission via: https://forms.gle/iV3WZEkU4H5eZCnr9
Submit the application not later than: September 15, 2024