Scalability analysis for transmon-based quantum computers

Quantum computing has been envisioned to offer unprecedented advantages over conventional supercomputers in certain computational applications such as drug discovery and materials design. Despite of the tremendous developments in recent years, concerns about building a practical quantum computer persist. This Letter examines, from engineering viewpoint, the grand challenges to building such a machine based on the leading technology platform “transmon”. The examination leads to proposal of technological solutions to break the scalability barriers that originate from the physics behind the transmon design, thereby to enable giga-scale integration necessary for the promised applications.

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Publication Details

Journal
Micro and Nano Engineering
Published
2025-10-15
DOI
https://doi.org/10.1016/j.mne.2025.100327
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.48

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article

Scalability analysis for transmon-based quantum computers

Shi‐Li Zhang
1 citations
Micro and Nano Engineering
Quantum Computing Algorithms and Architecture
2.48
article

Scalability analysis for transmon-based quantum computers

Shi‐Li Zhang
article en
1 citations

Abstract

Quantum computing has been envisioned to offer unprecedented advantages over conventional supercomputers in certain computational applications such as drug discovery and materials design. Despite of the tremendous developments in recent years, concerns about building a practical quantum computer persist. This Letter examines, from engineering viewpoint, the grand challenges to building such a machine based on the leading technology platform “transmon”. The examination leads to proposal of technological solutions to break the scalability barriers that originate from the physics behind the transmon design, thereby to enable giga-scale integration necessary for the promised applications.

Micro and Nano EngineeringVol. 29
Uppsala University (SE)
VINNOVA, Vetenskapsrådet
Openalex Percentile: Top 8%
Quantum Computing Algorithms and Architecture
2.48
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Scalability analysis for transmon-based quantum computers — Shi‐Li Zhang · Micro and Nano Engineering (2025) | TGRS Research Map | TGRS