{
  "id": "2310.07825",
  "version": "v1",
  "published": "2023-10-11T19:07:24.000Z",
  "updated": "2023-10-11T19:07:24.000Z",
  "title": "Probabilistic error cancellation for measurement-based quantum circuits",
  "authors": [
    "Riddhi S. Gupta",
    "Ewout van den Berg",
    "Maika Takita",
    "Kristan Temme",
    "Abhinav Kandala"
  ],
  "categories": [
    "quant-ph"
  ],
  "abstract": "Probabilistic error cancellation (PEC) is a technique that generates error-mitigated estimates of expectation values from ensembles of quantum circuits. In this work we extend the application of PEC from unitary-only circuits to dynamic circuits with measurement-based operations, such as mid-circuit measurements and classically-controlled (feedforward) Clifford operations. Our approach extends the sparse Pauli-Lindblad noise model to measurement-based operations while accounting for non-local measurement crosstalk in superconducting processors. Our mitigation and monitoring experiments provide a holistic view for the performance of the protocols developed in this work. These capabilities will be a crucial tool in the exploration of near-term dynamic circuit applications.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2023-10-11T19:07:24.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "probabilistic error cancellation",
      "measurement-based quantum circuits",
      "near-term dynamic circuit applications",
      "sparse pauli-lindblad noise model",
      "measurement-based operations"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}