What is the significance of the initial state preparation using Hadamard gates in the QAOA algorithm?
Tuesday, 11 June 2024 by EITCA Academy
The Quantum Approximate Optimization Algorithm (QAOA) is a hybrid quantum-classical algorithm designed to solve combinatorial optimization problems. It leverages the principles of quantum mechanics to find approximate solutions to problems that are otherwise computationally intractable for classical computers. The initial state preparation using Hadamard gates plays a important role in the QAOA algorithm, and its
- Published in Artificial Intelligence, EITC/AI/TFQML TensorFlow Quantum Machine Learning, Quantum Approximate Optimization Algorithm (QAOA), Quantum Approximate Optimization Algorithm (QAOA) with Tensorflow Quantum, Examination review
Tagged under: Artificial Intelligence, Hadamard Gates, QAOA, Quantum Computing, Quantum Optimization, TensorFlow Quantum