{
  "id": "2208.02550",
  "version": "v1",
  "published": "2022-08-04T09:47:12.000Z",
  "updated": "2022-08-04T09:47:12.000Z",
  "title": "Causal games of work extraction with indefinite causal order",
  "authors": [
    "Gianluca Francica"
  ],
  "categories": [
    "quant-ph"
  ],
  "abstract": "An indefinite causal order, where the causes of events are not necessarily in past events, is predicted by the process matrix framework. A fundamental question is how these non-separable causal structures can be related to the thermodynamic phenomena. Here, we approach this problem by considering the existence of two cooperating local Maxwell's demons which exploit the presence of global correlations and indefinite causal order to optimize the extraction of work. Thus, we prove that it is possible to get an advantage from the indefinite causal order, also from a statistical point of view.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2022-08-04T09:47:12.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "indefinite causal order",
      "work extraction",
      "causal games",
      "process matrix framework",
      "cooperating local maxwells demons"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}