Miniaturize 3D ion traps using novel 3D printing technology
ORAL
Abstract
Scalable architectures for quantum information processing with trapped ions will necessarily comprise thousands of computation sites. 3D traps are cumbersome and scaling to thousands of trapping sites appears to be quite challenging. Current approaches to scalable trapped ion quantum information use planar traps with limited trap depth, inefficient confinement. Although more challenging to make, miniature 3D traps are a better candidate which allows for higher secular frequencies thereby speeding up quantum operations and increasing resilience to electric-field noise. Here we use a novel 3D printing technology: two-photon polymerization direct laser writing, to fabricate miniature 3D printed traps with ion-electrode distance of 100 µm, and successfully trapped in such traps. The high flexibility of printing 3D structures using this method paves the way for creating a scalable QCCD quantum computer.
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Presenters
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Shuqi Xu
University of California, Berkeley
Authors
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Shuqi Xu
University of California, Berkeley
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Xiaoxing Xia
Lawrence Livermore National Laboratory
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Eli Megidish
Atom Computing
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Jiazheng Sun
University of California, Berkeley
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Sumanta Khan
University of California, Berkeley
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Juergen Biener
Lawrence Livermore National Laboratory
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Hartmut Haeffner
University of California, Berkeley