Quantum computing can benefit from the advancements made in artificial intelligence (AI) holistically across the tech stack — AI may even unlock completely new ways of using quantum computers. Simultaneously, AI can benefit from quantum computing leveraging the expected future compute and memory power.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Hu, K. ChatGPT sets record for fastest-growing user base-analyst note. Reuters https://go.nature.com/3Uoop4B (2023).
Chui, M. et al. The Economic Potential of Generative AI: the Next Productivity Frontier (McKinsey & Company, 2023).
Quantum Technology Monitor; https://go.nature.com/44dNClS (McKinsey & Company, 2023).
Nguyen, N. H., Behrman, E. C. & Steck, J. E. quantum learning with noise and decoherence: a robust quantum neural network. Quantum Mach. Intell. 2, 1 (2020).
Nautrup, H. P., Delfosse, N., Dunjko, V., Briegel, H. J. & Friis, N. Optimizing quantum error correction codes with reinforcement learning. Quantum 3, 215 (2019).
Khdr, H., Pagani, S., Shafique, M. & Henkel, J. In Advances in Computers (eds Hurson, A. R. & Sarbazi-Azad, H.), Vol 110, Ch. 4, 127–170; https://doi.org/10.1016/bs.adcom.2018.03.002 (2018).
Theis, T. N. & Wong, H.-S. P. The end of Moore’s law: a new beginning for information technology. Comput. Sci. Eng. 19, 41–50 (2017).
Wolters, J. et al. Simple atomic quantum memory suitable for semiconductor quantum dot single photons. Phys. Rev. Lett. 119, 060502 (2017).
Harrow, A. W., Hassidim, A. & Lloyd, S. Quantum algorithm for solving linear systems of equations. Phys. Rev. Lett. 103, 150502 (2009).
Rebentrost, P., Mohseni, M. & Lloyd, S. Quantum support vector machine for big feature and big data classification. Phys. Rev. Lett. 113, 130503 (2014).
Zhao, Z., Pozas-Kerstjens, A., Rebentrost, P. & Wittek, P. Bayesian deep learning on a quantum computer. Quantum Mach. Intell. 1, 41–51 (2019).
Acknowledgements
The authors thank V. Galitski, Y. Haviv, D. MacDonald, A. Sukharevsky, R. Zemmel and M. Zesko for their contributions to this article.
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Gschwendtner, M., Soller, H. & Zingg, S. Combining quantum and AI for the next superpower. Nat Rev Electr Eng (2024). https://doi.org/10.1038/s44287-024-00051-8
Published:
DOI: https://doi.org/10.1038/s44287-024-00051-8
