<p>Accurately estimating the performance of quantum hardware is crucial for comparing different platforms and predicting the performance and feasibility of quantum algorithms and applications. In this paper, we tackle the problem of benchmarking a quantum register based on the NV center in diamond operating at room temperature. We define the connectivity map as well as single-qubit performance. Thanks to an all-to-all connectivity, the 2 and 3-qubit gates performance is promising and competitive among other platforms. We experimentally calibrate the error model for the register and use it to estimate the quantum volume, a metric used for quantifying the quantum computational capabilities of the register, of 8. Our results pave the way towards the unification of different architectures of quantum hardware and the evaluation of the joint metrics.</p>

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Modeling quantum volume using randomized benchmarking of Room-Temperature NV center quantum registers

  • Tom Jäger,
  • MinSik Kwon,
  • Max Keller,
  • Rouven Maier,
  • Nicholas Bronn,
  • Regina Finsterhoelzl,
  • Guido Burkard,
  • Leon Büttner,
  • Rebekka Eberle,
  • Daniel Hähnel,
  • Vadim Vorobyov,
  • Jörg Wrachtrup

摘要

Accurately estimating the performance of quantum hardware is crucial for comparing different platforms and predicting the performance and feasibility of quantum algorithms and applications. In this paper, we tackle the problem of benchmarking a quantum register based on the NV center in diamond operating at room temperature. We define the connectivity map as well as single-qubit performance. Thanks to an all-to-all connectivity, the 2 and 3-qubit gates performance is promising and competitive among other platforms. We experimentally calibrate the error model for the register and use it to estimate the quantum volume, a metric used for quantifying the quantum computational capabilities of the register, of 8. Our results pave the way towards the unification of different architectures of quantum hardware and the evaluation of the joint metrics.