|
|
|
Hardware for multi-superconducting qubit control and readout |
| Zhan Wang(王战)1,4, Hai Yu(于海)3, Rongli Liu(刘荣利)3, Xiao Ma(马骁)3, Xueyi Guo(郭学仪)1, Zhongcheng Xiang(相忠诚)1, Pengtao Song(宋鹏涛)1,4, Luhong Su(苏鹭红)1,4, Yirong Jin(金贻荣)1,2,†, and Dongning Zheng(郑东宁)1,4,5,‡ |
1 Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China;
2 Beijing Academy of Quantum Information Sciences, Beijing 100193, China;
3 Beijing Liuhe Lianchuang Technology Co., Ltd., Beijing 100011, China;
4 University of Chinese Academy of Sciences, Beijing 100049, China;
5 Songshan Lake Materials Laboratory, Dongguan 523808, China |
|
|
|
|
Abstract We have developed an electronic hardware system for the control and readout of multi-superconducting qubit devices. The hardware system is based on the design ideas of good scalability, high synchronization and low latency. The system, housed inside a VPX-6U chassis, includes multiple arbitrary-waveform generator (AWG) channels, analog-digital-converter (ADC) channels as well as direct current source channels. The system can be used for the control and readout of up to twelve superconducting transmon qubits in one chassis, and control and readout of more and more qubit can be carried out by interconnecting the chassis. By using field programmable gate array (FPGA) processors, the system incorporates three features that are specifically useful for superconducting qubit research. Firstly, qubit signals can be processed using the on-board FPGA after being acquired by ADCs, significantly reducing data processing time and data amount for storage and transmission. Secondly, different output modes, such as direct output and sequential output modes, of AWG can be implemented with pre-encoded FPGA. Thirdly, with data acquisition ADCs and control AWGs jointly controlled by the same FPGA, the feedback latency can be reduced, and in our test a 178.4 ns latency time is realized. This is very useful for future quantum feedback experiments. Finally, we demonstrate the functionality of the system by applying the system to the control and readout of a 10 qubit superconducting quantum processor.
|
Received: 21 April 2021
Revised: 17 May 2021
Accepted manuscript online: 24 May 2021
|
|
PACS:
|
03.67.Lx
|
(Quantum computation architectures and implementations)
|
| |
03.67.Pp
|
(Quantum error correction and other methods for protection against decoherence)
|
| |
03.67.Hk
|
(Quantum communication)
|
|
| Fund: Project supported by the State Key Development Program for Basic Research of China (Grants Nos. 2017YFA0304300 and 2016YFA0300600), the Natural Science Foundation of Beijing, China (Grant No. Z190012), the Key-Area Research and Development Program of Guangdong Province, China (Grant No. 2020B0303030001), and the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDB28000000). |
Corresponding Authors:
Yirong Jin, Dongning Zheng
E-mail: jinyr@baqis.ac.cn;dzheng@iphy.ac.cn
|
Cite this article:
Zhan Wang(王战), Hai Yu(于海), Rongli Liu(刘荣利), Xiao Ma(马骁), Xueyi Guo(郭学仪), Zhongcheng Xiang(相忠诚), Pengtao Song(宋鹏涛), Luhong Su(苏鹭红), Yirong Jin(金贻荣), and Dongning Zheng(郑东宁) Hardware for multi-superconducting qubit control and readout 2021 Chin. Phys. B 30 110305
|
[1] Devoret M H and Schoelkopf R J 2013 Science 339 1169
[2] Gambetta J M, Chow J M and Steffen M 2017 npj Quantum Inf. 3 2
[3] Aharonov D and Ben-Or M 2008 SIAM J. Comput. 38 1207
[4] Preskill J 1997 arXiv:quant-ph/9712048
[5] Corcoles A D, et al. 2015 Nat. Commun. 6 6979
[6] Riste D, et al. 2015 Nat. Commun. 6 6983
[7] Kelly J, et al. 2015 Nature 519 66
[8] Jeffrey E, Sank D, et al. 2014 Phys. Rev. L. 112 190504
[9] Kaufmann T, Keller T J, et al. 2013 J. Magn. Reson. 235 95
[10] Castelvecchi D 2017 Nature 543 159
[11] Ryan C A, Johnson B R, et al. 2017 Rev. Sci. Instrum. 88 104703
[12] Lin J, Liang F T, Xu Y, et al. 2019 AIP advances 9 115309
[13] Harald H, Stefan V, et al. 2017 Rev. Sci. Instrum. 88 045103
[14] Wallraff A, Schuster D I, et al. 2005 Phys. Rev. Lett. 95 060501
[15] Barends R, Kelly J, Megrant A, et al. 2014 Nature 508 500 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
