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.

Weitere Informationen finden Sie im LSF: https://qis.server.uni-frankfurt.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=325247&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung