This Praktikum is taught in English

The Course

• This lab course is organized in collaboration with LRZ and LMU.
• It is provided separately for bachelor and master students but carried out as one event.
• Involved people:
  • LRZ: Minh Chung, Amir Raoofy, Xialong Deng
  • TUM: Yaknan Gambo (Chair Prof. Schulz), Burak Mete (Chair Prof. Mendl)
  • LMU: Korbinian Staudacher, Michelle To, Florian Krötz (Chair Prof. Kranzlmüller)

What you will learn from this course?

LRZ hosts quantum computers as part of its emerging technologies efforts. Together with the testbed program BEAST (Bavarian Energy, Architecture and SoVware Testbed) at LRZ, this course aims to connect students with the experimental side of quantum computing hardware. This Q-BEAST practical will explore different quantum systems through direct, hands-on access to the computers housed at, and associated with, LRZ, and help the student develop an understanding of the various technologies through benchmarking and evaluation.

You will:

• work on quantum computing with common simulation methods, algorithms; perform experiments on both simulators and real quantum computers.
• compare the experiments between simulators and realistic quantum computers.
• analyze the performance models of quantum computing algorithms as well as applications.
• attend talks/lectures from the quantum technology vendors, e.g., superconducting, ion-trapped, neutral atoms

• learn and discuss about the differences among the above technologies.

Course Structure:

 

• The first part consists of weekly talks or tutorials along with hands-on exercises or assignments.
• The second part is a final project with given topics/challenges that are assigned to each group of students according to preferences.

Grading:

• Students will work in groups and join the practical course weekly.
• Grading is based on the submitted assignments/exercises weekly and the final project, including code, results, and short reports.

Registration: 

• Registration for the praktikum will happen via the matching system.

Expected Skills

• Good knowledge of Python, C++, Linux
• Understanding of terms in quantum computing, computer architecture, and HPC
• Interest in quantum computing and HPC

Preliminary Meeting

• Hybrid Preliminary Meeting 11.07.2024 at 13:00 to 14:00:
  • Location:  TUM FMI buildingm 01.06.011, i.e., Seminarraum (5606.01.011)
  • Zoom Meeting: https://tum-conf.zoom-x.de/j/66029023252?pwd=b10Q0JbK1fGSoK6jF0xdH2NwgjFNzm.1
  • Slides: link

Schedule/Dates

• Weekly meeting during the semester: Thursday, 16:00 - 18:00 (tentative)

  • First date: 17:10.2024
  • location TUM FMI building, 01.06.020 (tentative)