Lecture
This lecture introduces the Variational Quantum Eigensolver (VQE) algorithm, which is a hybrid quantum-classical algorithm used to approximate the ground state energy of a given Hamiltonian. The instructor explains the principles behind VQE and its application in quantum approximate optimization. The lecture covers the concept of variational principles and the importance of parametrized circuits in quantum algorithms.
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