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Experimental Methods for Trapping Ions Using Microfabricated Surface Ion Traps
Published on: August 17, 2017
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Multispecies Trapped-Ion Node for Quantum Networking.
I V Inlek1, C Crocker1, M Lichtman1
1Joint Quantum Institute and Department of Physics, University of Maryland, College Park, Maryland 20742, USA.
Physical Review Letters
|July 12, 2017
Summary
Trapped atomic ions offer robust quantum networks. By co-trapping different ion species, researchers achieved necessary isolation for scalable quantum network nodes, enabling both local and remote entanglement.
Area of Science:
- Quantum Information Science
- Atomic Physics
- Quantum Networking
Background:
- Trapped atomic ions are a promising platform for quantum information networks.
- Existing architectures require isolation between spectator qubits and photonic interface qubits for local and remote operations.
- Scalable quantum network nodes necessitate efficient methods for qubit isolation.
Purpose of the Study:
- To demonstrate a method for achieving isolation between different qubit types within a single ion trap node.
- To showcase the essential components for a scalable ion trap quantum network node.
- To enable simultaneous local and remote entanglement operations within a quantum network.
Main Methods:
- Co-trapping of ytterbium-171 (¹⁷¹Yb⁺) and barium-138 (¹³⁸Ba⁺) atomic ions in a single ion trap.
- Utilizing the collective motion of the co-trapped ions for entanglement.
- Entangling a ¹³⁸Ba⁺ qubit with an emitted visible photon.
Main Results:
- Successfully isolated spectator qubit memories (¹⁷¹Yb⁺) from photonic interface qubits (¹³⁸Ba⁺).
- Demonstrated entanglement of a mixed-species qubit pair via their collective motion.
- Achieved entanglement between a ¹³⁸Ba⁺ qubit and a photon.
Conclusions:
- Co-trapping different atomic ion species provides the required isolation for scalable quantum network nodes.
- This approach facilitates the integration of local and remote entanglement operations within a single quantum network node.
- The demonstrated techniques are key ingredients for building advanced ion trap quantum networks.
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