| Lerninhalte |
Lecture 1-2: Classical Information Theory
• Shannon Entropy
• Compression
• Channel Capacity, Kullback-Leibler divergence
Lecture 3: Quantum Mechanics
• Superposition principle, qubits
• Measurements
• Bipartite systems
• Density matrices
Lecture 4: Quantum Information
• Entropy
• Entanglement, mutual information, relative entropy
Lecture 5: Quantum Operations and Channels
• Unitary operations, the Bloch Sphere
• CPTP, Kraus operators (?)
• Quantum Channel capacity(?)
Lecture 6: Simple applications
• Teleportation
• Entanglement Distillation
• No cloning theorem
• Superdense coding(?)
Lecture 7-8: Quantum Computation
• Classical networks model – NAND gates are universal
• 1- and 2- Qubit Quantum Gates
• Universal gate sets
• DiVincenzo’s criteria
Lecture 9: Algorithms
• Grover
• Deutsch-Jozsa
• Quantum Fourier Transform and Shor’s Algorithm
Lecture 10-11: Implementations/platforms
• photons
• ions/atoms
• SQUIDs |
