AI Bibliography
AI Bibliography |
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Akhtar, M., Bonus, F., Lebrun-Gallagher, F., Johnson, N., Siegele-Brown, M., & Hong, S., et al.. (2023). A high-fidelity quantum matter-link between ion-trap microchip modules. Nature communications, 14(1), 531. |
| Resource type: Journal Article BibTeX citation key: Akhtar2023 View all bibliographic details  |
Categories: Artificial Intelligence, Complexity Science, Computer Science, Data Sciences, General Subcategories: Big data, Quantum computing Creators: Akhtar, Bonus, Hensinger, Hile, Hong, Johnson, Kulmiya, Lebrun-Gallagher, Siegele-Brown, Weidt Publisher: Collection: Nature communications |
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System scalability is fundamental for large-scale quantum computers (QCs) and is being pursued over a variety of hardware platforms. For QCs based on trapped ions, architectures such as the quantum charge-coupled device (QCCD) are used to scale the number of qubits on a single device. However, the number of ions that can be hosted on a single quantum computing module is limited by the size of the chip being used. Therefore, a modular approach is of critical importance and requires quantum connections between individual modules. Here, we present the demonstration of a quantum matter-link in which ion qubits are transferred between adjacent QC modules. Ion transport between adjacent modules is realised at a rate of 2424 s−1 and with an infidelity associated with ion loss during transport below 7 × 10−8. Furthermore, we show that the link does not measurably impact the phase coherence of the qubit. The quantum matter-link constitutes a practical mechanism for the interconnection of QCCD devices. Our work will facilitate the implementation of modular QCs capable of fault-tolerant utility-scale quantum computation.
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