• From Stern-Gerlach to Spins and Qubits
  • Fundamentals of Quantum Mechanics
  • Basics of Quantum Computing Algorithms – The Quantum Computing Tool Box
  • Shor’s and Grover’s Algorithm
  • Quantum Parallelism, the Ideal Quantum Computer and its Emulation on Supercomputers
  • Real Quantum Computer Architectures – Gate-Based Machines vs. Quantum Annealers
  • QAOA on Gate-based Quantum Computers
  • VQE on the Noisy-Intermediate Quantum Computer (NISQ)
  • QUBO on the Quantum Annealer
  • Hybrid HPC-quantum algorithms
  • Quantum Programming Platforms
  • Boosting Machine Learning
  • Quantum Supremacy and Other Success Metrics

Lernergebnisse / Kompetenzziele:

The students will

  • learn basics of experimental and theoretical quantum theory relevant to quantum computing;
  • be able to apply the quantum computing toolbox (matrix repr., gates, circuit model);
  • learn variants of quantum computing technologies (gate-based systems, quantum annealers);
  • understand “killer” apps (Shor, Grover) and other quantum algorithms (optimization);
  • understand the idea of quantum parallelism w.r.t. to idealized and real quantum computers;
  • meet various quantum programming platforms;
  • understand practical hybrid HPC quantum algorithms and apply them to real machines.

Weitere Informationen finden Sie im LSF: