Benchmarking near-term quantum devices with the variational quantum eigensolver and the Lipkin-Meshkov-Glick model

@article{Robbins2021BenchmarkingNQ,
  title={Benchmarking near-term quantum devices with the variational quantum eigensolver and the Lipkin-Meshkov-Glick model},
  author={Kenneth Robbins and Peter J. Love},
  journal={Physical Review A},
  year={2021}
}
The Variational Quantum Eigensolver (VQE) is a promising algorithm for Noisy Intermediate Scale Quantum (NISQ) computation. Verification and validation of NISQ algorithms’ performance on NISQ devices is an important task. We consider the exactly-diagonalizable Lipkin-MeshkovGlick (LMG) model as a candidate for benchmarking NISQ computers. We use the Bethe ansatz to construct eigenstates of the trigonometric LMG model using quantum circuits inspired by the LMG’s underlying algebraic structure… Expand

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