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.
Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.
Explores complexity classes P and NP, highlighting solvable and verifiable problems, including NP-complete challenges.
Covers quantum states, symmetries, fermions, and variational principles in quantum chemistry.
Covers the Quantum Fourier Transform and its application in quantum computing, explaining the process of input values computation and the concept of complex numbers.
Delves into complexity theory, focusing on the P vs NP problem and the classification of computational problems based on efficiency.
