Dispersive optical systems for scalable Raman driving of hyperfine qubits

Dispersive optical systems for scalable Raman driving of hyperfine qubits
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DOI:
10.1103/physreva.105.032618
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发表时间:
2021-10
期刊:
影响因子:
2.9
通讯作者:
H. Levine;D. Bluvstein;A. Keesling;Tout T. Wang;S. Ebadi;G. Semeghini;Ahmed Omran;M. Greiner;Vladan Vuleti'c;M. Lukin
H. Levine;D. Bluvstein;A. Keesling;Tout T. Wang;S. Ebadi;G. Semeghini;Ahmed Omran;M. Greiner;Vladan Vuleti'c;M. Lukin
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
H. Levine;D. Bluvstein;A. Keesling;Tout T. Wang;S. Ebadi;G. Semeghini;Ahmed Omran;M. Greiner;Vladan Vuleti'c;M. Lukin

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超精细原子态是量子信息处理中量子位编码最有希望的候选者之一。在原子系统中,超精细跃迁通常由激光场通过双光子拉曼过程驱动,该激光场以超精细量子位频率进行幅度调制。在这里,我们介绍了一种通过对激光进行相位调制并从称为啁啾布拉格光栅(CBG)的高色散光学元件反射来产生幅度调制的新方法。这种方法是被动稳定的,效率高,并且与高功率激光源兼容,可实现大拉比频率并提高量子相干性。我们通过全局驱动光镊中捕获的 $\sim 300$ 中性 $^{87}$Rb 原子量子位阵列来对这种新方法进行基准测试,并获得 2 MHz 的拉比频率,每 $\pi$ 脉冲的光子散射误差率为 $<2 \times 10^{-4}$。这种稳健的方法可以直接与中性原子和俘获离子系统中的局部寻址光学器件集成,以促进量子信息处理的高保真单量子位操作。
Hyperfine atomic states are among the most promising candidates for qubit encoding in quantum information processing. In atomic systems, hyperfine transitions are typically driven through a two-photon Raman process by a laser field which is amplitude modulated at the hyperfine qubit frequency. Here, we introduce a new method for generating amplitude modulation by phase modulating a laser and reflecting it from a highly dispersive optical element known as a chirped Bragg grating (CBG). This approach is passively stable, offers high efficiency, and is compatible with high-power laser sources, enabling large Rabi frequencies and improved quantum coherence. We benchmark this new approach by globally driving an array of $\sim 300$ neutral $^{87}$Rb atomic qubits trapped in optical tweezers, and obtain Rabi frequencies of 2 MHz with photon-scattering error rates of $<2 \times 10^{-4}$ per $\pi$-pulse. This robust approach can be directly integrated with local addressing optics in both neutral atom and trapped ion systems to facilitate high-fidelity single-qubit operations for quantum information processing.