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 |