• Corpus ID: 204509225

Noise-Resilient Quantum Dynamics Using Symmetry-Preserving Ansatzes

@article{Otten2019NoiseResilientQD,
  title={Noise-Resilient Quantum Dynamics Using Symmetry-Preserving Ansatzes},
  author={Matthew Otten and Cristian L. Cortes and Stephen K. Gray},
  journal={arXiv: Quantum Physics},
  year={2019}
}
We describe and demonstrate a method for the computation of quantum dynamics on small, noisy universal quantum computers. This method relies on the idea of `restarting' the dynamics; at least one approximate time step is taken on the quantum computer and then a parameterized quantum circuit ansatz is optimized to produce a state that well approximates the time-stepped results. The simulation is then restarted from the optimized state. By encoding knowledge of the form of the solution in the… 

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