Variational Algorithms: Quantum Computing Optimization

This lecture introduces variational algorithms in quantum computing, focusing on the variational principle and its application to optimization problems. Topics include the exploitation of sparsity in Hamiltonians, the use of variational methods to find approximate solutions, and the computation of gradients for efficient optimization.