Quantum Information Elements: Basics and Applications

Related lectures (32)

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Covers the fundamentals of spectroscopy, including H-atom, color, shapes, and electronic transitions.

Explores operator or matrix density in quantum physics, discussing system evolution and interactions with the environment.

Covers the mechanisms behind quantum computation and explores the advantages of restricted computational models.

Covers quantum algorithms, complexity classes, Grover's algorithm, and quantum information in computational complexity.

Explores the Quantum Phase Estimation method for finding the period of a function using an oracle.

Covers Shor's factoring algorithm, which efficiently factors large numbers using quantum computers.

Covers the Deutsch and Deutsch-Jozsa algorithms in quantum computing, explaining the principles behind them and their implications.

Covers the fundamentals of quantum information, including quantum simulation and logic gates.

Covers the fundamental principles of quantum computing and unitary evolution in quantum systems.

Covers quantum information, computing, algorithms, error correction, and challenges in the field.