Advanced Topics in Quantum Computing - Optional Course, 1st Year Master Studies
Course & Seminar/Lab Instructor:
Topics:
- Introduction to Quantum Computing: Motivation & Context, Bit vs. Qubit, Implementation of Qubits, Superposition, Measurement;
- Quantum Circuit Model: Quantum Gates, Multi qubit systems, Entanglement;
- Quantum Algorithms: Quantum Parallelism, Grover's Algorithm, Factoring-Shor's Algorithm
- Quantum Error Correction
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Variational Algorithms
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Quantum Machine Learning
- Programming in Qiskit - IBM Quantum Computing
Some useful references:
- Nielsen & Chuang — Quantum Computation and Quantum Information (2010)
- C. Bernhardt — Quantum Computing for Everyone (2019)
- Yanofsky & Mannucci — Quantum Computing for Computer Scientists (2008)
Course Structure by Week
Week 1 — Introduction to Quantum Computing
Week 2 — Principles of Quantum Mechanics
Week 3 — Quantum Circuit Model I: Quantum Gates
Week 4 — Quantum Circuit Model II: Multi-qubit systems. Multi-qubit Gate. Measurement
Week 5 — Quantum Circuit Model III: Universal Quantum Computation. No-Cloning theorem. Entanglement.
Week 6 — Teleportation. Simple quantum algorithms: Quantum Parallelism, Deutsch
Week 7 — Quantum Algorithms: Deutsch-Jozsa, Simon, Grover’s Algorithm
Week 9 — QFT. Quantum Period Find. Factoring-Shor’s Algorithm
Week 10 — Transpilation. Quantum Error Correction. Fault tolerant QC
Week 11 — Quantum Machine Learning I: Quantum kernel
methods, Quantum neural networks
Week 12 —
Quantum Machine Learning II : QSVM, Quantum generative models. Variational algorithms for optimization QAOA
Week 13 —
Applications and Use Cases of Quantum Computing
Some useful Materials/Books - [here]
