Elements of Computational ComplexityIntroduces computational complexity, decision problems, quantum complexity, and probabilistic algorithms, including NP-hard and NP-complete problems.
Density Operator FormalismCovers the density operator formalism, polynomial time, NP problems, BPP, QMA, and probabilistic algorithms.
Complexity Classes: P and NPExplores complexity classes P and NP, highlighting solvable and verifiable problems, including NP-complete challenges.
Quantum Approximate Optimization AlgorithmCovers the Quantum Approximate Optimization Algorithm, physically inspired unitary coupled cluster ansatz, hardware-efficient ansatz, and variational quantum eigensolver.
P vs NP: Complexity TheoryDelves into complexity theory, focusing on the P vs NP problem and the classification of computational problems based on efficiency.
Security Algorithms: DESExplores perfect confidentiality, algorithmic security, one-way functions in DES, and the challenges of NP-complete problems.
