Scalable Ion Fluorescence Collection Using a Trap-Integrated Metalens
Hae Lim (1), Johannes E. Fr\"och (1), Christian M. Pluchar (1), Arka Majumdar (1, 2), and Sara L. Mouradian (1) ((1) Department of Electrical, Computer Engineering, The University of Washington at Seattle, (2) Department of Physics, The University of Washington at Seattle)

TL;DR
This paper presents a compact, integrated metalens system on a surface ion trap that significantly improves fluorescence collection efficiency, enabling scalable, high-fidelity parallel readout for trapped-ion quantum computers.
Contribution
It introduces a monolithically integrated metalens on a surface ion trap, enhancing fluorescence collection efficiency and scalability for quantum computing applications.
Findings
Simulated collection efficiency of 0.91% for a small aperture.
Measured detection efficiency of 0.58%.
Boosting aperture size increases efficiency to 3.17%, comparable to conventional objectives.
Abstract
A scaled trapped-ion quantum computer will require efficient fluorescence collection across a large area. Here we propose and demonstrate a compact monolithically integrated system featuring a metalens fabricated on the backside of a surface ion trap. A 40100 m aperture enables a simulated point-source collection efficiency of 0.91% and a measured point-source detection efficiency of 0.58%. Increasing the aperture area to 40600 m boosts the simulated collection efficiency to 3.17%comparable to that of a conventional objective with a numerical aperture of 0.35. Further improvements are possible by co-optimizing the electrode and aperture geometry. An undercut of the electrode substrate at the aperture ensures a large distance between the ion and dielectric substrate without compromising collection efficiency. The metalens directly collimates the collected…
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Taxonomy
TopicsQuantum and electron transport phenomena · Quantum Information and Cryptography · Quantum Computing Algorithms and Architecture
