b520d506a208cb9a12d1 · Universal Low-rank Matrix Recovery from Pauli Measurements

{
  "title_en": "Universal Low-rank Matrix Recovery from Pauli Measurements",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2011-12-12",
  "date_original": "December 12, 2011",
  "url": "https://www.nist.gov/publications/universal-low-rank-matrix-recovery-pauli-measurements",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Yi-Kai Liu",
  "abstract_excerpt_en": "We study the problem of reconstructing an unknown matrix M of rank r and dimension d using O(rd poly log d) Pauli measurements. This has applications in quantum state tomography, and is a non- commutative analogue of a well-known problem in compressed",
  "id": "b520d506a208cb9a12d1",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Universal Low-rank Matrix Recovery from Pauli Measurements",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2011-12-12",
      "date_original": "December 12, 2011",
      "url": "https://www.nist.gov/publications/universal-low-rank-matrix-recovery-pauli-measurements",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Yi-Kai Liu",
      "abstract_excerpt_en": "We study the problem of reconstructing an unknown matrix M of rank r and dimension d using O(rd poly log d) Pauli measurements. This has applications in quantum state tomography, and is a non- commutative analogue of a well-known problem in compressed"
    }
  ],
  "translation_state": "none"
}