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Programmability empowering quantum boson sampling

Nature Computational Science volume 3, pages 819–820 (2023)Cite this article

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Programmability is crucial in noisy intermediate-scale quantum computing, facilitating various functionalities for practical applications. An arbitrary programmable time-bin-encoded quantum boson sampling device has been developed, specifically tailored for potential drug discovery.

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Fig. 1: A programmable boson sampling device specifically designed for simulating biomolecular systems.

References

  1. Aaronson, S. & Arkhipov, S. in Proc. 43rd Ann. ACM Symp. on Theory of Computing (STOC ’11) 333–342 (ACM Press, 2011).

  2. Zhong, H.-S. et al. Science 370, 1460–1463 (2020).

    Article  Google Scholar 

  3. Zhong, H.-S. et al. Phys. Rev. Lett. 127, 180502 (2021).

    Article  Google Scholar 

  4. Madsen, L. S. et al. Nature 606, 75–81 (2022).

    Article  Google Scholar 

  5. Yu, S. et al. Nat. Comput. Sci. https://doi.org/10.1038/s43588-023-00526-y (2023).

  6. Brod, D. J. et al. Adv. Photon. 1, 034001 (2019).

    Google Scholar 

  7. Banchi, L., Fingerhuth, M., Babej, T., Ing, C. & Arrazola, J. M. Sci. Adv. 6, eaax1950 (2020).

    Article  Google Scholar 

  8. Tang, M., Hwang, K. & Kang, S. H. IEEE/ACM Trans. Comput. Biol. Bioinform. https://doi.org/10.1109/TCBB.2023.3253049 (2023).

    Article  Google Scholar 

  9. Hamilton, C. S. et al. Phys. Rev. Lett. 119, 170501 (2017).

    Article  Google Scholar 

  10. Arrazola, J. M. et al. Nature 591, 54–60 (2021).

    Article  Google Scholar 

  11. Bao, J. et al. Nat. Photon. 17, 573–581 (2023).

    Article  Google Scholar 

  12. Huh, J., Guerreschi, G. G., Peropadre, B., McClean, J. R. & Aspuru-Guzik, A. Nat. Photon. 9, 615–620 (2015).

    Article  Google Scholar 

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Authors and Affiliations

  1. State Key Laboratory for Mesoscopic Physics, School of Physics, Peking University, Beijing, China

    Zhaorong Fu, Jueming Bao & Jianwei Wang

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  1. Zhaorong Fu
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  2. Jueming Bao
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  3. Jianwei Wang
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Correspondence to Jianwei Wang.

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The authors declare no competing interests.

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Fu, Z., Bao, J. & Wang, J. Programmability empowering quantum boson sampling. Nat Comput Sci 3, 819–820 (2023). https://doi.org/10.1038/s43588-023-00534-y

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