Classical Optimizer Archives

What role does the classical optimizer play in the VQE algorithm, and which specific optimizer is used in the TensorFlow Quantum implementation described?

Tuesday, 11 June 2024 by EITCA Academy

The Variational Quantum Eigensolver (VQE) algorithm is a hybrid quantum-classical algorithm designed to find the ground state energy of a given Hamiltonian, which is a fundamental problem in quantum chemistry and condensed matter physics. The VQE algorithm leverages the strengths of both quantum and classical computing to achieve this goal. The classical optimizer plays a

Published in Artificial Intelligence, EITC/AI/TFQML TensorFlow Quantum Machine Learning, Variational Quantum Eigensolver (VQE), Variational Quantum Eigensolver (VQE) in TensorFlow-Quantum for 2 qubit Hamiltonians, Examination review

Tagged under: Adam Optimizer, Artificial Intelligence, Classical Optimizer, Quantum Computing, TensorFlow Quantum, Variational Quantum Eigensolver

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What role does the classical optimizer play in the VQE algorithm, and which specific optimizer is used in the TensorFlow Quantum implementation described?