RF performance benchmarking of TSV integrated surface electrode ion trap for quantum computing

Surface electrode ion trap is highly promising for practical quantum computing due to its superior controllability on the trapped ions. With advanced microfabrication techniques, silicon has been developed as ion trap substrate for delicate surface electrodes design as well as monolithic electro-opt...

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Main Authors: Zhao, Peng, Li, Hong Yu, Tao, Jing, Likforman, Jean-Pierre, Lim, Yu Dian, Seit, Wen Wei, Luca, Guidoni, Tan, Chuan Seng
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/153006
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1530062021-12-09T12:43:12Z RF performance benchmarking of TSV integrated surface electrode ion trap for quantum computing Zhao, Peng Li, Hong Yu Tao, Jing Likforman, Jean-Pierre Lim, Yu Dian Seit, Wen Wei Luca, Guidoni Tan, Chuan Seng School of Electrical and Electronic Engineering Institute of Microelectronics, A∗STAR Engineering::Electrical and electronic engineering Surface Electrode Ion Trap Finite Element Modeling Surface electrode ion trap is highly promising for practical quantum computing due to its superior controllability on the trapped ions. With advanced microfabrication techniques, silicon has been developed as ion trap substrate for delicate surface electrodes design as well as monolithic electro-optical components integration. However, the high RF loss of silicon hinders the possible large-scale implementation. In this work, we demonstrate a through silicon via (TSV) integrated ion trap, which has low RF loss due to the elimination of wire bonding pads on the surface and the miniaturization of form factor. We also fabricate two types of conventional wire bonding (WB) traps with or without a grounding screen layer. The RF performance of different ion traps are tested and compared, in terms of on-chip S-parameter, post-packaging resonance and resulting power loss. The results show that TSV trap has low S21 (~0.2 dB at 50 MHz), high Q factor (~22) and low power loss (0.26 W) as compared to WB traps. In addition, 3D finite element modelling is employed for electric field visualization and RF loss analysis of different traps. The extracted results from the modelling show a decent agreement with the measurements. In addition to various RF tests, the design, fabrication and ion trapping operation of different ion traps are presented. This work provides insights into RF loss of ion trapping device and offers a new solution for RF loss reduction. Agency for Science, Technology and Research (A*STAR) National Research Foundation (NRF) Accepted version The authors are grateful for the funding support from the A*STAR Quantum Technology for Engineering program (A1685b0005) and the National Research Foundation, Singapore, under its ANR-NRF Joint Grant Call (NRF2020-NRF-ANR073 HIT). 2021-12-09T12:43:11Z 2021-12-09T12:43:11Z 2021 Journal Article Zhao, P., Li, H. Y., Tao, J., Likforman, J., Lim, Y. D., Seit, W. W., Luca, G. & Tan, C. S. (2021). RF performance benchmarking of TSV integrated surface electrode ion trap for quantum computing. IEEE Transactions On Components, Packaging and Manufacturing Technology, 11(11), 1856-1863. https://dx.doi.org/10.1109/TCPMT.2021.3114172 2156-3950 https://hdl.handle.net/10356/153006 10.1109/TCPMT.2021.3114172 2-s2.0-85115710129 11 11 1856 1863 en A1685b0005 NRF2020-NRF-ANR073 HIT IEEE Transactions on Components, Packaging and Manufacturing Technology © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TCPMT.2021.3114172. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Surface Electrode Ion Trap
Finite Element Modeling
spellingShingle Engineering::Electrical and electronic engineering
Surface Electrode Ion Trap
Finite Element Modeling
Zhao, Peng
Li, Hong Yu
Tao, Jing
Likforman, Jean-Pierre
Lim, Yu Dian
Seit, Wen Wei
Luca, Guidoni
Tan, Chuan Seng
RF performance benchmarking of TSV integrated surface electrode ion trap for quantum computing
description Surface electrode ion trap is highly promising for practical quantum computing due to its superior controllability on the trapped ions. With advanced microfabrication techniques, silicon has been developed as ion trap substrate for delicate surface electrodes design as well as monolithic electro-optical components integration. However, the high RF loss of silicon hinders the possible large-scale implementation. In this work, we demonstrate a through silicon via (TSV) integrated ion trap, which has low RF loss due to the elimination of wire bonding pads on the surface and the miniaturization of form factor. We also fabricate two types of conventional wire bonding (WB) traps with or without a grounding screen layer. The RF performance of different ion traps are tested and compared, in terms of on-chip S-parameter, post-packaging resonance and resulting power loss. The results show that TSV trap has low S21 (~0.2 dB at 50 MHz), high Q factor (~22) and low power loss (0.26 W) as compared to WB traps. In addition, 3D finite element modelling is employed for electric field visualization and RF loss analysis of different traps. The extracted results from the modelling show a decent agreement with the measurements. In addition to various RF tests, the design, fabrication and ion trapping operation of different ion traps are presented. This work provides insights into RF loss of ion trapping device and offers a new solution for RF loss reduction.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhao, Peng
Li, Hong Yu
Tao, Jing
Likforman, Jean-Pierre
Lim, Yu Dian
Seit, Wen Wei
Luca, Guidoni
Tan, Chuan Seng
format Article
author Zhao, Peng
Li, Hong Yu
Tao, Jing
Likforman, Jean-Pierre
Lim, Yu Dian
Seit, Wen Wei
Luca, Guidoni
Tan, Chuan Seng
author_sort Zhao, Peng
title RF performance benchmarking of TSV integrated surface electrode ion trap for quantum computing
title_short RF performance benchmarking of TSV integrated surface electrode ion trap for quantum computing
title_full RF performance benchmarking of TSV integrated surface electrode ion trap for quantum computing
title_fullStr RF performance benchmarking of TSV integrated surface electrode ion trap for quantum computing
title_full_unstemmed RF performance benchmarking of TSV integrated surface electrode ion trap for quantum computing
title_sort rf performance benchmarking of tsv integrated surface electrode ion trap for quantum computing
publishDate 2021
url https://hdl.handle.net/10356/153006
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