Multimode quantum networking with trapped ions

Krutyanskiy, V. L.; Krcmarsky, Vojtech; Canteri, Marco; Meraner, Martin; Schupp, Josef; Lanyon, B. P.

doi:10.1109/cleo/europe-eqec52157.2021.9542557

Cited by 1 publication

(2 citation statements)

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“…The qubits are then time-evolved by applying unitary rotations in accordance with the sampled value for r. Photon emission [81] is modeled as the creation of a perfect ion-photon Bell state |Φ + = 1 √ 2 (|00 + |11 ) followed by a depolarizing channel on the ionic qubit. Our model for the storage of quantum states in ionic qubits and the emission of photons has been validated against experimental data from [63,79,80].…”

Section: Trapped Ionsmentioning

confidence: 99%

“…The ion-photon emission fidelity has been corrected for the 1.5% infidelity due to dark counts in [81]. The initialization duration includes time for cooling sequences and repumping (3 ms of cooling for 230 photon generation attempts on one ion, with 40 µs for repumping and optical pumping in 30 of the attempts and 20 µs in 200 of the attempts, averaging at 36µs per attempt [63,79,80]). The coherence time is based on measurements in a two-ion trap, where one of the two ions stores an entangled state of which the fidelity is measured, while the other ion is used to emit an entangled photon every 330 µs [63,79,80].…”

Section: Trapped Ionsmentioning

confidence: 99%

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Requirements for a processing-node quantum repeater on a real-world fiber grid

Avis¹,

Silva²,

Coopmans³

et al. 2022

Preprint

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We numerically study the distribution of entanglement between the Dutch cities of Delft and Eindhoven realized with a processing-node quantum repeater and determine minimal hardware requirements for verified blind quantum computation using group-IV color centers and trapped ions. Our results are obtained considering restrictions imposed by a real-world fiber grid and using detailed hardware-specific models. By comparing our results to those we would obtain in idealized settings we show that simplifications lead to a distorted picture of hardware demands, particularly on memory coherence and photon collection. We develop general machinery suitable for studying arbitrary processing-node repeater chains using NetSquid, a discrete-event simulator for quantum networks. This enables us to include time-dependent noise models and simulate repeater protocols with cut-offs, including the required classical control communication. We find minimal hardware requirements by solving an optimization problem using genetic algorithms on a high-performancecomputing cluster. Our work provides guidance for further experimental progress, and showcases limitations of studying quantum-repeater requirements in idealized situations.

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Section: Trapped Ionsmentioning

confidence: 99%