Beschreibung von Einführung in Angewandtes Quantencomputing

Inhalte:

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.