Introduction to Quantum Information Theory and Communication Via A Quantum Channel# Classical Capacity of a Quantum Channel, Quantum Capacity, and Communication With Entanglement Assistance. Background On Classical Information Theory and Quantum Information Theory. Postulates of Quantum Mechanics. Isolated/noisy Quantum Systems. Physical Description of a Quantum Channel and Mathematical Definition. Basic Communication Protocols and Resource Inequalities. Classical and Quantum Entropy and Information Measures. The Meaning Of Conditional Entropy and Why Can It Be Negative. Quantum Method Of Types and Schumacher Compression. Capacity of a Quantum Channel For The Transmission of Classical Information (bits). Capacity Theorem For a Classical-quantum Channel. The Regularization Problem And Super-additivity of The Holevo Information. Communication With Entanglement Assistance. Learning Outcomes# at The End of The Course The Students Will Be Able # 1. Understand The Principles at The Basis Of Quantum Shannon Theory, The Information-theoretic Description of Communication Problems, And Basic Protocols For The Conversion of Quantum Resources. The Students Will Apreciate The Significant Dirrences Between D Classical and Quantum Communication Systems and The Challenges That Follow, and Develop Intuition For Understanding Those Behaviours. 2. Be Familiar With The Fundamental Capacity Theorems In Quantum Information Theory and Master Important Analytical Methods In This Area.

Faculty: Electrical and Computer Engineering
|Undergraduate Studies |Graduate Studies

Pre-required courses

(94412 - Probability (advanced) and 114073 - Int. to Quantum Physics For Engineering) or (94412 - Probability (advanced) and 236990 - Introduction to Quantum Information) or (104034 - Introduction to Probability H and 114073 - Int. to Quantum Physics For Engineering) or (104034 - Introduction to Probability H and 115203 - Quantum Physics 1) or (104034 - Introduction to Probability H and 236990 - Introduction to Quantum Information) or (104222 - Probability Theory and 114073 - Int. to Quantum Physics For Engineering) or (104222 - Probability Theory and 115203 - Quantum Physics 1) or (104222 - Probability Theory and 236990 - Introduction to Quantum Information)


Semestrial Information