Ahmad, M., Giagkoulovits, C. , Danilin, S. , Weides, M. and Heidari, H. (2022) Scalable cryoelectronics for superconducting qubit control and readout. Advanced Intelligent Systems, 4(9), 2200079. (doi: 10.1002/aisy.202200079)
![[img]](https://eprints.gla.ac.uk/style/images/fileicons/text.png) |
Text
269723.pdf - Published Version Available under License Creative Commons Attribution. 3MB |
Abstract
Quantum computing promises an exponentially higher computational power than classical computers; although all the building blocks have become available, certain constraints still prevent quantum advantage. The fundamental challenge in building a practical quantum computer is integrating thousands of highly coherent qubits with the control and readout electronics. The need for a high-coherence qubit drives the effort for quantum error correction algorithms to create fault-tolerant quantum systems. Error correction becomes tangible in a quantum processor only in large numbers of qubits. Thus, the other challenge is reducing the number of physical interconnects (coaxial lines) between the quantum–classical interface and bulky room-temperature electronics. To interface thousands of qubits, interconnects can be reduced by bringing the control and readout electronics near the quantum processor. Cryogenic complementary metal–oxide–semiconductor (CMOS) technology has been an ideal candidate for this purpose. Integrated control and readout at cryogenic temperatures require low power dissipation circuit designs and techniques such as frequency-division multiplexing (FDM) due to the finite cooling power of a dilution refrigerator. Herein, an overview of each building block in a superconducting quantum computer is provided, focusing on scalability. Furthermore, this article is concluded with an outlook discussing current challenges and future directions for the scalable superconducting control and readout.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Danilin, Dr Sergey and Weides, Professor Martin and Giagkoulovits, Dr Christos and Ahmad, Mr Meraj and Heidari, Professor Hadi |
| Authors: | Ahmad, M., Giagkoulovits, C., Danilin, S., Weides, M., and Heidari, H. |
| College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
| Journal Name: | Advanced Intelligent Systems |
| Publisher: | Wiley |
| ISSN: | 2640-4567 |
| ISSN (Online): | 2640-4567 |
| Published Online: | 26 May 2022 |
| Copyright Holders: | Copyright © 2022 The Authors |
| First Published: | First published in Advanced Intelligent Systems 4(9): 2200079 |
| Publisher Policy: | Reproduced under a Creative Commons License |
University Staff: Request a correction | Enlighten Editors: Update this record
Funder and Project Information
Funder and Project Information