Theory of analytical energy derivatives for the variational quantum eigensolver
arXiv:1905.04054 · doi:10.1103/PhysRevResearch.2.013129
Abstract
The variational quantum eigensolver (VQE) and its variants, which is a method for finding eigenstates and eigenenergies of a given Hamiltonian, are appealing applications of near-term quantum computers. Although the eigenenergies are certainly important quantities which determines properties of a given system, their derivatives with respect to parameters of the system, such as positions of nuclei if we target a quantum chemistry problem, are also crucial to analyze the system. Here, we describe methods to evaluate analytical derivatives of the eigenenergy of a given Hamiltonian, including the excited state energy as well as the ground state energy, with respect to the system parameters in the framework of the VQE. We give explicit, low-depth quantum circuits which can measure essential quantities to evaluate energy derivatives, incorporating with proof-of-principle numerical simulations. This work extends the theory of the variational quantum eigensolver, by enabling it to measure more physical properties of a quantum system than before and to explore chemical reactions.
References in corpus (15)
- A variational eigenvalue solver on a quantum processor
- Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets
- Quantum Circuit Learning
- An adaptive variational algorithm for exact molecular simulations on a quantum computer
- Efficient variational quantum simulator incorporating active error minimisation
- The Bravyi-Kitaev transformation for quantum computation of electronic structure
- Hybrid Quantum-Classical Hierarchy for Mitigation of Decoherence and Determination of Excited States
- Variational Quantum Computation of Excited States
- Subspace-search variational quantum eigensolver for excited states
- Variational quantum algorithms for discovering Hamiltonian spectra
- Methodology for replacing indirect measurements with direct measurements
- Automatic code generation enables nuclear gradient computations for fully internally contracted multireference theory
- Calculating energy derivatives for quantum chemistry on a quantum computer
- Quantum Algorithm for Molecular Properties and Geometry Optimization
- Generalization of the output of variational quantum eigensolver by parameter interpolation with low-depth ansatz
Cited by in corpus (45)
- The Variational Quantum Eigensolver: a review of methods and best practices
- Qulacs: a fast and versatile quantum circuit simulator for research purpose
- Solving nonlinear differential equations with differentiable quantum circuits
- Emerging quantum computing algorithms for quantum chemistry
- Model-free readout-error mitigation for quantum expectation values
- Estimating the gradient and higher-order derivatives on quantum hardware
- Higher Order Derivatives of Quantum Neural Networks with Barren Plateaus
- Quantum Solver of Contracted Eigenvalue Equations for Scalable Molecular Simulations on Quantum Computing Devices
- Orbital optimized unitary coupled cluster theory for quantum computer
- Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation
- Error mitigation for universal gates on encoded qubits
- A state-averaged orbital-optimized hybrid quantum-classical algorithm for a democratic description of ground and excited states
- Universal quantum circuits for quantum chemistry
- Quantum Chemistry Simulations of Dominant Products in Lithium-Sulfur Batteries
- Variational Quantum Eigensolver for Frustrated Quantum Systems
- Generalized quantum circuit differentiation rules
- Variational Quantum Simulation for Periodic Materials
- Efficient quantum computation of molecular forces and other energy gradients
- Analytical nonadiabatic couplings and gradients within the state-averaged orbital-optimized variational quantum eigensolver
- Variational quantum algorithm for molecular geometry optimization
- Orbital transformations to reduce the 1-norm of the electronic structure Hamiltonian for quantum computing applications
- Microcanonical and finite temperature ab initio molecular dynamics simulations on quantum computers
- Ab Initio Molecular Dynamics on Quantum Computers
- Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model
- Improving the variational quantum eigensolver using variational adiabatic quantum computing
- Quantum-Selected Configuration Interaction: classical diagonalization of Hamiltonians in subspaces selected by quantum computers
- Adaptive construction of shallower quantum circuits with quantum spin projection for fermionic systems
- Calculating nonadiabatic couplings and Berry's phase by variational quantum eigensolvers
- Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series
- Quantum circuits for the preparation of spin eigenfunctions on quantum computers
- Improved variational quantum eigensolver via quasi-dynamical evolution
- Quantum Chemistry Calculations using Energy Derivatives on Quantum Computers
- Hybrid quantum-classical algorithms for solving quantum chemistry in Hamiltonian-wavefunction space
- Excited-state molecular dynamics simulation based on variational quantum algorithms
- Analytical formulation of the second-order derivative of energy for orbital-optimized variational quantum eigensolver: application to polarizability
- Noise-Robust Detection of Quantum Phase Transitions
- Near-term quantum algorithm for computing molecular and materials properties based on recursive variational series methods
- Universal noise-precision relations in variational quantum algorithms
- Molecular Properties from Quantum Krylov Subspace Diagonalization
- Quantum computing fidelity susceptibility using automatic differentiation
- Deep variational quantum eigensolver for excited states and its application to quantum chemistry calculation of periodic materials
- Quantum Feasibility Labeling for NP-complete Vertex Coloring Problem
- Encoding strongly-correlated many-boson wavefunctions on a photonic quantum computer: application to the attractive Bose-Hubbard model
- A Spectral Quantum Algorithm for Numerical Differentiation and Integration
- Toward Density Functional Theory on Quantum Computers?