Quantum Chemistry Calculations using Energy Derivatives on Quantum Computers
arXiv:2106.06463 · doi:10.1016/j.chemphys.2022.111506
Abstract
Quantum chemistry calculations such as the prediction of molecular properties and modeling of chemical reactions are a few of the critical areas where near-term quantum computers can showcase quantum advantage. We present a method to calculate energy derivatives for both ground state and excited state energies with respect to the parameters of a chemical system based on the framework of the variational quantum eigensolver (VQE). A low-depth implementation of quantum circuits within the hybrid variational paradigm is designed, and their computational costs are analyzed. We showcase the effectiveness of our method by incorporating it in some key quantum chemistry applications of energy derivatives, such as to perform minimum energy configuration search and estimate molecular response properties estimation of H molecule, and also to find the transition state of H + H H + H reaction. The obtained results are shown to be in complete agreement with their respective full configuration interaction (FCI) values.
12 pages, 7 figures
References in corpus (9)
- A Quantum Approximate Optimization Algorithm
- Hyperparameter Search in Machine Learning
- Tapering off qubits to simulate fermionic Hamiltonians
- Doubling the size of quantum simulators by entanglement forging
- A Feasible Approach for Automatically Differentiable Unitary Coupled-Cluster on Quantum Computers
- Analytical nonadiabatic couplings and gradients within the state-averaged orbital-optimized variational quantum eigensolver
- Variational quantum algorithm for molecular geometry optimization
- Analytical energy gradient for state-averaged orbital-optimized variational quantum eigensolvers and its application to a photochemical reaction
- VQE Method: A Short Survey and Recent Developments
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- Quantum computing fidelity susceptibility using automatic differentiation