Challenges and opportunities for quantum information hardware

Quantum technologies have made impressive progress over the past decade. In some areas, such as quantum sensing and key distribution, these technologies are moving from the laboratory to enable real-world applications. However, for areas such as quantum computing, entanglement-enhanced sensing, and a global quantum internet, we are in an equivalent of the early transistor age, and hardware breakthroughs are required in multiple arenas to reach the performance necessary for the envisioned applications. In this Review, we assess the current state of the art of quantum information hardware and identify key challenges and opportunities ahead. We draw inspiration from the history of scaling and development of classical electronics and photonics to anticipate progress in the field.

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Publication Details

Journal
Science
Published
2025-12-04
DOI
https://doi.org/10.1126/science.adz8659
Citations
5
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
12.40
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article

Challenges and opportunities for quantum information hardware

D. D. Awschalom, Hannes Bernien, William D. Oliver, Jelena Vučković et al.
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Quantum Computing Algorithms and Architecture
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article

Challenges and opportunities for quantum information hardware

D. D. Awschalom, Hannes Bernien, William D. Oliver, Jelena Vučković, Ronald Hanson
article en
5 citations

Abstract

Quantum technologies have made impressive progress over the past decade. In some areas, such as quantum sensing and key distribution, these technologies are moving from the laboratory to enable real-world applications. However, for areas such as quantum computing, entanglement-enhanced sensing, and a global quantum internet, we are in an equivalent of the early transistor age, and hardware breakthroughs are required in multiple arenas to reach the performance necessary for the envisioned applications. In this Review, we assess the current state of the art of quantum information hardware and identify key challenges and opportunities ahead. We draw inspiration from the history of scaling and development of classical electronics and photonics to anticipate progress in the field.

ScienceVol. 390(6777)
Austrian Academy of Sciences (AT), Universität Innsbruck (AT), University of Chicago (US), QuTech (NL), Massachusetts Institute of Technology (US), Stanford University (US), Delft University of Technology (NL)
Openalex Percentile: Top 2%
Quantum Computing Algorithms and Architecture
12.40
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