Analytical Ground- and Excited-State Gradients for Molecular Electronic Structure Theory from Hybrid Quantum/Classical Methods
arXiv:2110.05040
Abstract
We develop analytical gradients of ground- and excited-state energies with respect to system parameters including the nuclear coordinates for the hybrid quantum/classical multistate contracted variational quantum eigensolver (MC-VQE) applied to fermionic systems. We show how the resulting response contributions to the gradient can be evaluated with a quantum effort similar to that of obtaining the VQE energy and independent of the total number of derivative parameters (e.g. number of nuclear coordinates) by adopting a Lagrangian formalism for the evaluation of the total derivative. We also demonstrate that large-step-size finite-difference treatment of directional derivatives in concert with the parameter shift rule can significantly mitigate the complexity of dealing with the quantum parameter Hessian when solving the quantum response equations. This enables the computation of analytical derivative properties of systems with hundreds of atoms, while solving an active space of their most strongly correlated orbitals on a quantum computer. We numerically demonstrate the exactness the analytical gradients and discuss the magnitude of the quantum response contributions.
arXiv comment23 pages, 5 figures
References in corpus (30)
- Quantum Computing in the NISQ era and beyond
- A variational eigenvalue solver on a quantum processor
- Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets
- The theory of variational hybrid quantum-classical algorithms
- Quantum Circuit Learning
- Hybrid Quantum-Classical Hierarchy for Mitigation of Decoherence and Determination of Excited States
- Generalized Unitary Coupled Cluster Wavefunctions for Quantum Computation
- Quantum Simulation of Electronic Structure with Linear Depth and Connectivity
- Quantum Computation of Electronic Transitions using a Variational Quantum Eigensolver
- Hybrid Quantum-Classical Approach to Quantum Optimal Control
- Efficient and Noise Resilient Measurements for Quantum Chemistry on Near-Term Quantum Computers
- PennyLane: Automatic differentiation of hybrid quantum-classical computations
- Qubitization of Arbitrary Basis Quantum Chemistry Leveraging Sparsity and Low Rank Factorization
- Estimating the gradient and higher-order derivatives on quantum hardware
- Efficient quantum circuits for quantum computational chemistry
- Calculating energy derivatives for quantum chemistry on a quantum computer
- Real time evolution for ultracompact Hamiltonian eigenstates on quantum hardware
- Quantum Algorithm for Molecular Properties and Geometry Optimization
- Quantum Filter Diagonalization: Quantum Eigendecomposition without Full Quantum Phase Estimation
- Generalized swap networks for near-term quantum computing
- Efficient ab initio auxiliary-field quantum Monte Carlo calculations in Gaussian bases via low-rank tensor decomposition
- Correlating AGP on a quantum computer
- Chemistry on quantum computers with virtual quantum subspace expansion
- The Fermionic Quantum Emulator
- A Jacobi Diagonalization and Anderson Acceleration Algorithm For Variational Quantum Algorithm Parameter Optimization
- Hybrid Quantum/Classical Derivative Theory: Analytical Gradients and Excited-State Dynamics for the Multistate Contracted Variational Quantum Eigensolver
- Quantum Chemistry Calculations using Energy Derivatives on Quantum Computers
- Single-component gradient rules for variational quantum algorithms
- Local, Expressive, Quantum-Number-Preserving VQE Ansatze for Fermionic Systems
- QForte: an efficient state simulator and quantum algorithms library for molecular electronic structure
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