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Updated: Jun 7, 2025

Experimental Methods for Trapping Ions Using Microfabricated Surface Ion Traps
Published on: August 17, 2017
Individually addressed entangling gates in a two-dimensional ion crystal.
1Center for Quantum Information, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, PR China.
Researchers demonstrate high-fidelity two-qubit entangling gates for quantum computing using two-dimensional (2D) ion crystals. This overcomes challenges in addressing individual ions, paving the way for scalable quantum processors.
Area of Science:
- Quantum Information Processing
- Atomic Physics
- Condensed Matter Physics
Background:
- Two-dimensional (2D) ion crystals offer a scalable platform for quantum information processing.
- Challenges remain in achieving high-fidelity, individually addressed two-qubit gates due to ion micromotion and 2D addressing difficulties.
Purpose of the Study:
- To demonstrate high-fidelity two-qubit entangling gates between any ion pairs in a 2D ion crystal.
- To address the technical challenges of individual ion addressing and micromotion in 2D ion crystals for quantum computing.
Main Methods:
- Utilized symmetrically placed crossed acousto-optic deflectors (AODs) to drive Raman transitions for precise ion addressing.
- Developed a gate sequence involving alternating single-ion addressing to avoid crosstalk from multiple laser beams.
- Investigated the impact of ion micromotion on gate fidelity and proposed compensation methods.
Main Results:
- Achieved an addressing crosstalk error below 0.1% using crossed AODs.
- Demonstrated two-qubit entangling gates compatible with any single-ion addressing technique.
- Showed that the effect of ion micromotion on gate fidelity can be compensated by recalibrating laser intensity.
Conclusions:
- Successfully demonstrated a method for high-fidelity two-qubit entangling gates in 2D ion crystals.
- Overcame key challenges in individual ion addressing and micromotion, crucial for scalable quantum computing.
- This work advances the development of ion trap quantum computers with hundreds to thousands of qubits.
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