Corpus ID: 219179368

Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack

@inproceedings{Mills2020ApplicationMotivatedHB,
  title={Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack},
  author={D. Mills and Seyon Sivarajah and Travis L. Scholten and R. Duncan},
  year={2020}
}
  • D. Mills, Seyon Sivarajah, +1 author R. Duncan
  • Published 2020
  • Physics
  • Quantum computing systems need to be benchmarked in terms of practical tasks they would be expected to do. Here, we propose 3 “applicationmotivated” circuit classes for benchmarking: deep (relevant for state preparation in the variational quantum eigensolver algorithm), shallow (inspired by IQP-type circuits that might be useful for nearterm quantum machine learning), and square (inspired by the quantum volume benchmark). We quantify the performance of a quantum computing system in running… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 108 REFERENCES
    Characterizing quantum supremacy in near-term devices
    369
    The Expressive Power of Parameterized Quantum Circuits
    40
    The Born supremacy: quantum advantage and training of an Ising Born machine
    11
    Methods for classically simulating noisy networked quantum architectures
    2
    Architectures for Quantum Simulation Showing a Quantum Speedup
    47