NFYK26000U Advanced Qubit Technologies
The course will be composed of a set of six experimental modules covering aspects of experimental quantum computing and one module about entrepreneurship in the fields of quantum technology.
Modules consist of hands-on experiments utilising semiconducting and superconducting quantum bits that form two of the most advanced and competitive quantum computing platforms. The experiments are carried out at the Quantum Training Lab and exploit state-of-the-art qubit devices developed by the R&D teams at the Niels Bohr Institute and Quantum Foundry Copenhagen.
Knowledge:
- Demonstrate a solid understanding of the operating principles behind semiconducting and superconducting qubits.
- Identify the core experimental techniques used in quantum computing research and development.
- Explain the challenges and current technological advancements in building scalable quantum computing systems.
- Recognize the landscape and potential of entrepreneurship in the quantum technology sector.
Skills:
- Set up and perform advanced experiments involving state-of-the-art qubit devices and equipment
- Analyse and interpret experimental data from semiconducting and superconducting qubit systems.
- Be able to work within a systematic data driven R&D approach to quantum technologies, including the formulation and use of metrics of interest.
- Apply best practices in quantum measurement techniques and implement noise mitigation strategies
- Collaborate effectively in a laboratory setting using state-of-the-art tools and equipment for quantum research.
- Translate experimental findings into technical insights relevant to quantum technology development.
Competencies:
- Critically evaluate experimental approaches in the context of quantum computing hardware.
- Integrate knowledge from quantum physics, engineering, and data analysis to solve complex experimental problems.
- Communicate technical results and concepts clearly to both specialist and non-specialist audiences.
- Demonstrate awareness of the broader innovation ecosystem and assess the feasibility of quantum technology applications in commercial or academic contexts.
Students will mainly use open-access scientific articles to support their learning. Purchasing of a specific book is not required.
Academic qualifications equivalent to a BSc degree in Physics, Chemistry, Mathematics, Computer Science, or a closely related field is recommended.
- Category
- Hours
- Lectures
- 16
- Preparation
- 78
- Practical exercises
- 88
- Laboratory
- 24
- Total
- 206
As
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- Credit
- 7,5 ECTS
- Type of assessment
- Continuous assessment, 4 submissions
- Type of assessment details
- Submission of 4 digital lab notebooks for select experimental
modules, documenting their experimental procedures, data analyses,
and reflections.
The 4 assignments carry equal weight (25%), and the final assessment will be based on a weighted average. It is required to pass each individual submission with the grade 02 or higher in order to pass the overall examination. - Examination prerequisites
80% attendance and active participation in the 7 modules. A catch-up session will be offered before the ordinary exam week to allow students to catch up on missing modules and meet the examination prerequisite.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
- Re-exam
Oral examination, 20 minutes with no preparation time. Allowed aids include lab notebook, scientific articles, and the course material.
If the student does not meet the examination prerequisite, the course must be taken again.
Criteria for exam assesment
See Learning Outcome
Course information
- Language
- English
- Course code
- NFYK26000U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 3
- Schedule
- A
- Course capacity
- 20
The number of places might be reduced if you register in the late-registration period (BSc and MSc) or as a credit or single subject student.
Study board
- Study Board of Physics, Chemistry and Nanoscience
Contracting department
- The Niels Bohr Institute
Contracting faculty
- Faculty of Science
Course Coordinators
- Francesco Borsoi (16-707c6b786d6f7d6d79386c797c7d79734a786c7338757f386e75)
- Shingo Kono (11-786d6e736c7433707473744573676e33707a336970)
Lecturers
Francesco Borsoi, Shingo Kono