Programming Using Qiskit, Solving Mathematical Problems With Qc, Quantum Communication Problems# Superdense Coding, Quantum Teleportation, Quantum Games, Quantum Phase Estimation, Algorithm For Solving Linear Equations, Simulation of Hamiltonian Eigenstates, Introduction Into Noisy Intermediate-scale Quantum and Hybrid Quantum-classical Algorithms# Variational Quantum Eigensolver For Quantum Chemistry, Quantum Noise and Noise Mitigation Techniques. Learning Outcomes# At The End of The Course The Students Will Be Able To# 1. Describe The Operational Principles of a Quantum Computer. 2. Program The Ibm Quantum Computer to Perform Several Basic And Advanced Algorithms For Processing Quantum Information. 3. Know The Limitations of The Quantum Computer in Aspects Related To Noise and Computation Errors. 4. Explain The Advantage of Certain Quantum Algorithms of Classical Ones. 5. Implement The Algorithms to Basic Problems in Physics and Quantum Chemistry. 6. Compare Between Calculation Experiments Made With Quantum And Classical Computers.

Faculty: Physics
|Undergraduate Studies |Graduate Studies
Pre-required courses

46243 - Quantum Technologies or 116031 - Int. to Quantum Inf. Computation or 127446 - Introduction to Molecular Quantum Tech or 236990 - Introduction to Quantum Information

Course with no extra credit

127460 - Computational Quantum Lab in Ch