Large-scale photonic network with squeezed vacuum states for molecular vibronic spectroscopy
Journal article, 2024

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.

Author

Hui Hui Zhu

Nanyang Technological University

Hao Sen 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

A*STAR - Agency for Science, Technology and Research

Lip Ket Chin

City University of Hong Kong

L. C. Kwek

Nanyang Technological University

Centre for Quantum Technologies

Bengt Nordén

Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry

Xiang Dong Zhang

Beijing Institute of Technology

Ai Qun Liu

Nanyang Technological University

Hong Kong Polytechnic University

Nature Communications

2041-1723 (ISSN) 20411723 (eISSN)

Vol. 15 1 6057

Subject Categories

Atom and Molecular Physics and Optics

Theoretical Chemistry

DOI

10.1038/s41467-024-50060-2

PubMed

39025843

More information

Latest update

8/7/2024 8