{
  "id": "2201.09866",
  "version": "v1",
  "published": "2022-01-24T18:40:43.000Z",
  "updated": "2022-01-24T18:40:43.000Z",
  "title": "Probabilistic error cancellation with sparse Pauli-Lindblad models on noisy quantum processors",
  "authors": [
    "Ewout van den Berg",
    "Zlatko K. Minev",
    "Abhinav Kandala",
    "Kristan Temme"
  ],
  "categories": [
    "quant-ph"
  ],
  "abstract": "Error-mitigation techniques can enable access to accurate estimates of physical observables that are otherwise biased by noise in pre-fault-tolerant quantum computers. One particularly general error-mitigation technique is probabilistic error cancellation (PEC), which effectively inverts a well-characterized noise channel to produce noise-free estimates of observables. Experimental realizations of this technique, however, have been impeded by the challenge of learning correlated noise in large quantum circuits. In this work, we present a practical protocol for learning a sparse noise model that scales to large quantum devices and is efficient to learn and invert. These advances enable us to demonstrate PEC on a superconducting quantum processor with crosstalk errors, thereby revealing a path to error-mitigated quantum computation with noise-free observables at larger circuit volumes.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2022-01-24T18:40:43.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "probabilistic error cancellation",
      "sparse pauli-lindblad models",
      "noisy quantum processors",
      "large quantum",
      "particularly general error-mitigation technique"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}