Elements of computational complexity

Related lectures (28)

Page 2 of 3

Explores algorithmic complexity, comparing growth rates using Theta notation and characterizing different complexity classes.

Explores quantum algorithms, their complexity, and applications in learning, highlighting key concepts and recent research findings.

Covers Shor's factoring algorithm and the link between order finding and factoring.

Delves into the theory of computation, covering decidability, complexity, P vs. NP, and reductions.

Covers Grover's search algorithm, a quantum algorithm for searching unstructured databases.

Explores algorithm complexity, analyzing efficiency and worst-case scenarios of sorting algorithms.

Covers algorithmic complexity and travel time analysis, focusing on measuring the time taken by algorithms and evaluating their performance.

Explores the Shor algorithm circuit details for efficient number factoring using quantum computing.

Explores algorithm complexity, big-O notation, induction, recursion, and analysis of running times, covering NP problems and complexity classes.

Explains the Quantum Phase Estimation (QPE) algorithm and its complexity using two registers and SWAP gates.