Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.
Covers the Quantum Fourier Transform and its application in quantum computing, explaining the process of input values computation and the concept of complex numbers.
Explains the Quantum Phase Estimation (QPE) algorithm and its complexity using two registers and SWAP gates.
Introduces computational complexity, decision problems, quantum complexity, and probabilistic algorithms, including NP-hard and NP-complete problems.
Explores algorithm complexity, analyzing efficiency and worst-case scenarios of sorting algorithms.
Explores computation with tensor networks, covering joint probability distributions, statistical mechanics, and quantum computation applications.
