Large-Scale Simulations of Quantum Systems
Course content
The general objective of this course is to provide students with a comprehensive understanding of how quantum computing and large-scale classical computing can be harnessed to advance quantum technologies. The course emphasizes both numerical skills and theoretical insights necessary for deploying large scale simulations of quantum systems.
The course teaches students how to leverage quantum computing and large-scale classical computing to simulate and design the dynamics of quantum systems. The course consists of six modules covering different aspects of classical high-performance computing and practical quantum computing.
Knowledge:
- Quantum system dynamics and approaches to classical simulation of these
- High-performance and parallel computing
- Quantum algorithms and resource estimation
Skills:
- Developing and implementing code for simulating and visualizing quantum dynamics
- High-performance computing (HPC)
- Identifying and analysing computational problems for their suitability for parallelization
- Conducting simulations using quantum computing hardware
Competencies:
- Designing and executing large-scale simulation workloads
- Parallel computing
- Evaluating resource requirements and performance metrics for quantum algorithms
Combination of lectures and hands-on computational exercises
See Absalon
Students should have a good background in quantum mechanics,
corresponding to the level taught in the BSc programme in Physics
and represented for example by "Introduction to Quantum
Mechanics" (D.J. Griffiths and D.F. Schroeter).
Students are also expected to have programming experience
corresponding to at least a 7.5 ECTS introductory programming
course.
- ECTS
- 7,5 ECTS
- Type of assessment
-
Continuous assessment, 6 submissions
- Type of assessment details
- The continuous assessment will be made based on the 6 projects
connected to each of the 6 modules. The assessment will take both
the final result, quality of visualizations, code benchmarks, and
code structure into account.
The 6 submissions carry equal weight, and the final assessment will be based on a weighted average. Assignments that are not submitted will receive a grade of -3. It is not required to pass each individual submission, and the examination can be passed with an overall average of 02 or higher. - 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.
Criteria for exam assessment
See Learning Outcome
Single subject courses (day)
- Category
- Hours
- Lectures
- 30
- Theory exercises
- 60
- Project work
- 116
- English
- 206
Kursusinformation
- Language
- English
- Course number
- NFYK26002U
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 block
- Placement
- Block 4
- Schedulegroup
-
B
- Capacity
- No limitation - unless you register in the late-registration period (BSc and MSc) or as a credit or single subject student.
- Studyboard
- Study Board of Physics, Chemistry and Nanoscience
Contracting department
- The Niels Bohr Institute
Contracting faculty
- Faculty of Science
Course Coordinator
- Mark Kamper Svendsen (13-7165766f32777a6972687769724472666d326f7932686f)
Er du BA- eller KA-studerende?
Kursusinformation for indskrevne studerende