Quantum networking with trapped <sup>88</sup>Sr<sup>+</sup> and <sup>43</sup>Ca<sup>+</sup> ions
POSTER
Abstract
Quantum networks are essential for future applications in distributed quantum computing, cryptography, and metrology.
We create entanglement between ions – the stationary quantum memory – and photons – the flying quantum information carrier. By interfering the photons from two network nodes separated by 2 m, we can create remote entangled states of two Sr ions with a 0.94 fidelity at an average rate of 182 s-1 [1].
This remote entanglement has enabled the distribution of a key with security certified by Bell's theorem [2]. The same setup has been used to demonstrate a network of entangled optical atomic clocks, where the remote entanglement enables frequency comparisons with precision close to the Heisenberg limit [3].
More recently, we have integrated a long-lived memory qubit into one node of the quantum network. By transferring the quantum information from Sr to a Ca ion ~3 μm away, we can store ion-photon entanglement for up to 10 s, while concurrent manipulation of Sr does not affect the memory qubit [4].
These mixed-species operations enabled the first demonstration of deterministic and verifiable blind quantum computing through adaptive polarisation measurements. We discuss the next steps for this elementary mixed-species trapped-ion quantum network.
[1] Stephenson et al., Phys. Rev. Lett. 124, 110501 (2020)
[2] Nadlinger et al., Nature 607, 682–686 (2022)
[3] Nichol et al., Nature 609, 689–694 (2022)
[4] Drmota et al., arXiv:2210.11447 (2022)
We create entanglement between ions – the stationary quantum memory – and photons – the flying quantum information carrier. By interfering the photons from two network nodes separated by 2 m, we can create remote entangled states of two Sr ions with a 0.94 fidelity at an average rate of 182 s-1 [1].
This remote entanglement has enabled the distribution of a key with security certified by Bell's theorem [2]. The same setup has been used to demonstrate a network of entangled optical atomic clocks, where the remote entanglement enables frequency comparisons with precision close to the Heisenberg limit [3].
More recently, we have integrated a long-lived memory qubit into one node of the quantum network. By transferring the quantum information from Sr to a Ca ion ~3 μm away, we can store ion-photon entanglement for up to 10 s, while concurrent manipulation of Sr does not affect the memory qubit [4].
These mixed-species operations enabled the first demonstration of deterministic and verifiable blind quantum computing through adaptive polarisation measurements. We discuss the next steps for this elementary mixed-species trapped-ion quantum network.
[1] Stephenson et al., Phys. Rev. Lett. 124, 110501 (2020)
[2] Nadlinger et al., Nature 607, 682–686 (2022)
[3] Nichol et al., Nature 609, 689–694 (2022)
[4] Drmota et al., arXiv:2210.11447 (2022)
Publication: Stephenson et al., Phys. Rev. Lett. 124, 110501 (2020)<br>Nadlinger et al., Nature 607, 682–686 (2022)<br>Nichol et al., Nature 609, 689–694 (2022)<br>Drmota et al., arXiv:2210.11447 (2022)
Presenters
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Peter Drmota
University of Oxford
Authors
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Peter Drmota
University of Oxford
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David P Nadlinger
University of Oxford
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bethan C nichol
University of Oxford
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Dougal Main
University of Oxford, The University of Oxford
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Ellis M Ainley
University of Oxford
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Chris J Ballance
University of Oxford, University of Oxford/Oxford Ionics, Department of Physics, University of Oxford
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Raghavendra Srinivas
University of Oxford/Oxford Ionics, University of Oxford
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Gabriel Araneda
University of Oxford
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David M Lucas
University of Oxford