Accelerated Variational Quantum Eigensolver
arXiv:1802.00171 · doi:10.1103/PhysRevLett.122.140504
Abstract
The problem of finding the ground state energy of a Hamiltonian using a quantum computer is currently solved using either the quantum phase estimation (QPE) or variational quantum eigensolver (VQE) algorithms. For precision , QPE requires repetitions of circuits with depth , whereas each expectation estimation subroutine within VQE requires samples from circuits with depth . We propose a generalised VQE algorithm that interpolates between these two regimes via a free parameter which can exploit quantum coherence over a circuit depth of to reduce the number of samples to . Along the way, we give a new routine for expectation estimation under limited quantum resources that is of independent interest.
arXiv comment11 pages
References in corpus (17)
- 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
- Simulated Quantum Computation of Molecular Energies
- Scalable Quantum Simulation of Molecular Energies
- Elucidating Reaction Mechanisms on Quantum Computers
- Towards Practical Quantum Variational Algorithms
- Efficient quantum algorithms for simulating sparse Hamiltonians
- Low Depth Quantum Simulation of Electronic Structure
- Hamiltonian Learning and Certification Using Quantum Resources
- Arbitrary accuracy iterative phase estimation algorithm as a two qubit benchmark
- Optimal Quantum Measurements of Expectation Values of Observables
- Efficient Bayesian Phase Estimation
- On the advantages of using relative phase Toffolis with an application to multiple control Toffoli optimization
- Experimental Bayesian Quantum Phase Estimation on a Silicon Photonic Chip
- Quantum phase estimation of multiple eigenvalues for small-scale (noisy) experiments
- How to best sample a periodic probability distribution, or on the accuracy of Hamiltonian finding strategies
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