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Large-scale photonic network with squeezed vacuum states for molecular vibronic spectroscopy

Author

Listed:
  • Hui Hui Zhu

    (Nanyang Technological University)

  • Hao Chen

    (Beijing Institute of Technology)

  • Tian Chen

    (Beijing Institute of Technology)

  • Yuan Li

    (Nanyang Technological University)

  • Shao Bo Luo

    (Southern University of Science and Technology)

  • Muhammad Faeyz Karim

    (Nanyang Technological University)

  • Xian Shu Luo

    (Advanced Micro Foundry)

  • Feng Gao

    (Advanced Micro Foundry)

  • Qiang Li

    (Advanced Micro Foundry)

  • Hong Cai

    (and Research))

  • Lip Ket Chin

    (City University of Hong Kong)

  • Leong Chuan Kwek

    (Nanyang Technological University
    National University of Singapore)

  • Bengt Nordén

    (Chalmers University of Technology)

  • Xiang Dong Zhang

    (Beijing Institute of Technology)

  • Ai Qun Liu

    (Nanyang Technological University
    The Hong Kong Polytechnic University)

Abstract

Although molecular vibronic spectra generation is pivotal for chemical analysis, tackling such exponentially complex tasks on classical computers remains inefficient. Quantum simulation, though theoretically promising, faces technological challenges in experimentally extracting vibronic spectra for molecules with multiple modes. Here, we propose a nontrivial algorithm to generate the vibronic spectra using states with zero displacements (squeezed vacuum states) coupled to a linear optical network, offering ease of experimental implementation. We also fabricate an integrated quantum photonic microprocessor chip as a versatile simulation platform containing 16 modes of single-mode squeezed vacuum states and a fully programmable interferometer network. Molecular vibronic spectra of formic acid and thymine under the Condon approximation are simulated using the quantum microprocessor chip with high reconstructed fidelity ( > 92%). Furthermore, vibronic spectra of naphthalene, phenanthrene, and benzene under the non-Condon approximation are also experimentally simulated. Such demonstrations could pave the way for solving complicated quantum chemistry problems involving vibronic spectra and computational tasks beyond the reach of classical computers.

Suggested Citation

  • Hui Hui Zhu & Hao Chen & Tian Chen & Yuan Li & Shao Bo Luo & Muhammad Faeyz Karim & Xian Shu Luo & Feng Gao & Qiang Li & Hong Cai & Lip Ket Chin & Leong Chuan Kwek & Bengt Nordén & Xiang Dong Zhang & , 2024. "Large-scale photonic network with squeezed vacuum states for molecular vibronic spectroscopy," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50060-2
    DOI: 10.1038/s41467-024-50060-2
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    References listed on IDEAS

    as
    1. Abhinav Kandala & Antonio Mezzacapo & Kristan Temme & Maika Takita & Markus Brink & Jerry M. Chow & Jay M. Gambetta, 2017. "Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets," Nature, Nature, vol. 549(7671), pages 242-246, September.
    2. J. M. Arrazola & V. Bergholm & K. Brádler & T. R. Bromley & M. J. Collins & I. Dhand & A. Fumagalli & T. Gerrits & A. Goussev & L. G. Helt & J. Hundal & T. Isacsson & R. B. Israel & J. Izaac & S. Jaha, 2021. "Quantum circuits with many photons on a programmable nanophotonic chip," Nature, Nature, vol. 591(7848), pages 54-60, March.
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