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Experimental Methods for Trapping Ions Using Microfabricated Surface Ion Traps
Published on: August 17, 2017
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A high-fidelity quantum matter-link between ion-trap microchip modules
M Akhtar1,2, F Bonus2,3, F R Lebrun-Gallagher1,2
1Sussex Centre for Quantum Technologies, University of Sussex, Brighton, BN1 9QH, UK.
Nature Communications
|February 8, 2023
Summary
Researchers demonstrated a quantum matter-link for transferring ion qubits between quantum computing modules. This breakthrough enables scalable, modular quantum computers with high-fidelity ion transport and preserved qubit coherence.
Area of Science:
- Quantum Information Science
- Atomic Physics
- Computer Engineering
Background:
- Scalability is crucial for large-scale quantum computers (QCs).
- Trapped-ion quantum computing often uses the quantum charge-coupled device (QCCD) architecture.
- Current QCCD modules have limited qubit capacity due to chip size, necessitating modular designs.
Purpose of the Study:
- To demonstrate a quantum matter-link for transferring ion qubits between adjacent quantum computing modules.
- To enable modular quantum computing architectures for enhanced scalability.
- To facilitate the development of fault-tolerant, utility-scale quantum computation.
Main Methods:
- Development and implementation of a quantum matter-link for ion qubit transport.
- Experimental transfer of ion qubits between adjacent quantum computing modules.
- Measurement of ion transport rate and infidelity (ion loss).
- Assessment of the impact of the quantum matter-link on qubit phase coherence.
Main Results:
- Successful demonstration of ion qubit transfer between adjacent QC modules.
- Achieved an ion transport rate of 2424 s-1.
- Infidelity associated with ion loss during transport was below 7 × 10-8.
- The quantum matter-link did not measurably impact qubit phase coherence.
Conclusions:
- The demonstrated quantum matter-link is a practical mechanism for interconnecting QCCD devices.
- This technology is essential for building modular quantum computers.
- The findings pave the way for fault-tolerant, utility-scale quantum computation through modularity.
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