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Quantum computing for oncology

Nature Cancer (2024)Cite this article

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As quantum technology advances, it holds immense potential to accelerate oncology discovery through enhanced molecular modeling, genomic analysis, medical imaging, and quantum sensing.

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Fig. 1: Evolution of quantum computing capabilities and potential.
Fig. 2: Qubit characteristics.

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Acknowledgements

Work on this manuscript is supported by Wellcome Leap as part of the Quantum for Bio Program and by philanthropic support from T. Wehmeier.

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Authors and Affiliations

  1. Pritzker School of Medicine, University of Chicago, Chicago, IL, USA

    Siddhi Ramesh

  2. Infleqtion, Chicago, IL, USA

    Teague Tomesh & Frederic T. Chong

  3. Pritzker School of Molecular Engineering, Univeristy of Chicago, Chicago, IL, USA

    Samantha J. Riesenfeld

  4. Department of Medicine, University of Chicago, Chicago, IL, USA

    Samantha J. Riesenfeld & Alexander T. Pearson

  5. Committee on Immunology, University of Chicago, Chicago, IL, USA

    Samantha J. Riesenfeld

  6. Department of Computer Science, University of Chicago, Chicago, IL, USA

    Frederic T. Chong

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  1. Siddhi Ramesh
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  2. Teague Tomesh
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  3. Samantha J. Riesenfeld
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  4. Frederic T. Chong
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  5. Alexander T. Pearson
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Corresponding authors

Correspondence to Frederic T. Chong or Alexander T. Pearson.

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Competing interests

F.T.C. and T.T. are employees of Infleqtion. F.T.C. is Chief Scientist for Quantum Software at Infleqtion and an advisor to Quantum Circuits, Inc. The other authors declare no competing interests.

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Ramesh, S., Tomesh, T., Riesenfeld, S.J. et al. Quantum computing for oncology. Nat Cancer (2024). https://doi.org/10.1038/s43018-024-00770-9

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