How are the measurements transformed into the Z basis for different Pauli terms, and why is this transformation necessary in the context of VQE?
Tuesday, 11 June 2024 by EITCA Academy
In the context of the Variational Quantum Eigensolver (VQE) implemented using TensorFlow Quantum for 2-qubit Hamiltonians, transforming the measurements into the Z basis for different Pauli terms is a important step in the process. This transformation is necessary to accurately estimate the expectation values of the Hamiltonian's components, which are essential for evaluating the cost
- 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: Artificial Intelligence, BasisTransformation, PauliOperators, QuantumComputing, TensorFlowQuantum, VQE