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Enhancing quantum sensing sensitivity by a quantum memory

Author

Listed:
  • Sebastian Zaiser

    (3rd Physics Institute, University of Stuttgart)

  • Torsten Rendler

    (3rd Physics Institute, University of Stuttgart)

  • Ingmar Jakobi

    (3rd Physics Institute, University of Stuttgart)

  • Thomas Wolf

    (3rd Physics Institute, University of Stuttgart)

  • Sang-Yun Lee

    (3rd Physics Institute, University of Stuttgart)

  • Samuel Wagner

    (3rd Physics Institute, University of Stuttgart)

  • Ville Bergholm

    (Technical University Munich)

  • Thomas Schulte-Herbrüggen

    (Technical University Munich)

  • Philipp Neumann

    (3rd Physics Institute, University of Stuttgart)

  • Jörg Wrachtrup

    (3rd Physics Institute, University of Stuttgart)

Abstract

In quantum sensing, precision is typically limited by the maximum time interval over which phase can be accumulated. Memories have been used to enhance this time interval beyond the coherence lifetime and thus gain precision. Here, we demonstrate that by using a quantum memory an increased sensitivity can also be achieved. To this end, we use entanglement in a hybrid spin system comprising a sensing and a memory qubit associated with a single nitrogen-vacancy centre in diamond. With the memory we retain the full quantum state even after coherence decay of the sensor, which enables coherent interaction with distinct weakly coupled nuclear spin qubits. We benchmark the performance of our hybrid quantum system against use of the sensing qubit alone by gradually increasing the entanglement of sensor and memory. We further apply this quantum sensor-memory pair for high-resolution NMR spectroscopy of single 13C nuclear spins.

Suggested Citation

  • Sebastian Zaiser & Torsten Rendler & Ingmar Jakobi & Thomas Wolf & Sang-Yun Lee & Samuel Wagner & Ville Bergholm & Thomas Schulte-Herbrüggen & Philipp Neumann & Jörg Wrachtrup, 2016. "Enhancing quantum sensing sensitivity by a quantum memory," Nature Communications, Nature, vol. 7(1), pages 1-11, November.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12279
    DOI: 10.1038/ncomms12279
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    Cited by:

    1. Mateusz Mazelanik & Adam Leszczyński & Michał Parniak, 2022. "Optical-domain spectral super-resolution via a quantum-memory-based time-frequency processor," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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