Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109231
DC Field | Value | Language |
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dc.contributor | Department of Electrical and Electronic Engineering | en_US |
dc.creator | Zhu, HH | en_US |
dc.creator | Chen, HS | en_US |
dc.creator | Chen, T | en_US |
dc.creator | Li, Y | en_US |
dc.creator | Luo, SB | en_US |
dc.creator | Karim, MF | en_US |
dc.creator | Luo, XS | en_US |
dc.creator | Gao, F | en_US |
dc.creator | Li, Q | en_US |
dc.creator | Cai, H | en_US |
dc.creator | Chin, LK | en_US |
dc.creator | Kwek, LC | en_US |
dc.creator | Nordén, B | en_US |
dc.creator | Zhang, XD | en_US |
dc.creator | Liu, AQ | en_US |
dc.date.accessioned | 2024-10-03T08:15:09Z | - |
dc.date.available | 2024-10-03T08:15:09Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/109231 | - |
dc.language.iso | en | en_US |
dc.publisher | Nature Publishing Group | en_US |
dc.rights | © The Author(s) 2024 | en_US |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
dc.rights | The following publication Zhu, H.H., Sen Chen, H., Chen, T. et al. Large-scale photonic network with squeezed vacuum states for molecular vibronic spectroscopy. Nat Commun 15, 6057 (2024) is available at https://doi.org/10.1038/s41467-024-50060-2. | en_US |
dc.title | Large-scale photonic network with squeezed vacuum states for molecular vibronic spectroscopy | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 15 | en_US |
dc.identifier.doi | 10.1038/s41467-024-50060-2 | en_US |
dcterms.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. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Nature communications, 2024, v. 15, 6057 | en_US |
dcterms.isPartOf | Nature communications | en_US |
dcterms.issued | 2024 | - |
dc.identifier.scopus | 2-s2.0-85198825079 | - |
dc.identifier.pmid | 39025843 | - |
dc.identifier.eissn | 2041-1723 | en_US |
dc.identifier.artn | 6057 | en_US |
dc.description.validate | 202410 bcch | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Others | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Singapore Ministry of Education (MOE); Singapore National Research Foundation (NRF); National Natural Science Foundation of China (NSFC) | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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s41467-024-50060-2.pdf | 1.24 MB | Adobe PDF | View/Open |
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