Robust Quantum Memory in a Trapped-Ion Quantum Network Node
ORAL
Abstract
Quantum networks can revolutionise the way in which we distribute and process information. Applications in the fields of cryptography, quantum computing, metrology, and fundamental physics will require the ability to store entangled states while further entanglement is generated across the network. Trapped-ion nodes connected via photonic links are an excellent candidate for realising such networks.
Here, we integrate a long-lived memory qubit into a mixed-species trapped-ion quantum network node [1]. Ion-photon entanglement, first generated with a network qubit in 88Sr+, is transferred to 43Ca+ with 0.977(7) fidelity and mapped to a robust memory qubit. We then entangle the network qubit with another photon, which does not affect the memory qubit. We perform quantum state tomography to show that the fidelity of ion-photon entanglement decays ~ 70 times slower on the memory qubit. Dynamical decoupling and sympathetic cooling further extends the storage time; we measure an ion-photon entanglement fidelity of 0.81(4) after 10 s.
[1] P. Drmota et al., arXiv:2210.11447 (2022)
Here, we integrate a long-lived memory qubit into a mixed-species trapped-ion quantum network node [1]. Ion-photon entanglement, first generated with a network qubit in 88Sr+, is transferred to 43Ca+ with 0.977(7) fidelity and mapped to a robust memory qubit. We then entangle the network qubit with another photon, which does not affect the memory qubit. We perform quantum state tomography to show that the fidelity of ion-photon entanglement decays ~ 70 times slower on the memory qubit. Dynamical decoupling and sympathetic cooling further extends the storage time; we measure an ion-photon entanglement fidelity of 0.81(4) after 10 s.
[1] P. Drmota et al., arXiv:2210.11447 (2022)
*This work was supported by the U.K. EPSRC "Quantum Computing and Simulation" Hub, the E.U. Quantum Technology Flagship Project AQTION (No. 820495), and the U.S. Army Research Office (ref. W911NF-18-1-0340).
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Publication: Drmota et al., arXiv:2210.11447
Presenters
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Dougal Main
- University of Oxford
- The University of Oxford