Efficient Multiphoton Sampling of Molecular Vibronic Spectra on a Superconducting Bosonic Processor
Name
PhysRevX.10.021060.pdf
Description
Published version
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1.15 MB
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Author(s) • • • • • • • • •
Wang, Christopher S.
Curtis, Jacob C.
Lester, Brian J.
Zhang, Yaxing
Gao, Yvonne Y.
Freeze, Jessica
Batista, Victor S.
Vaccaro, Patrick H.
Chuang, Isaac L.
Frunzio, Luigi
Date Issued
June 2020
Journal
Physical Review X
Publisher
American Physical Society (APS)
Citation
Wang, Christopher S. et al. "Efficient Multiphoton Sampling of Molecular Vibronic Spectra on a Superconducting Bosonic Processor." Physical Review X 10, 2 (June 2020): 021060 © 2020 The Authors
Version
Final published version
Abstract
The efficient simulation of quantum systems is a primary motivating factor for developing controllable quantum machines. For addressing systems with underlying bosonic structure, it is advantageous to utilize a naturally bosonic platform. Optical photons passing through linear networks may be configured to perform quantum simulation tasks, but the efficient preparation and detection of multiphoton quantum states of light in linear optical systems are challenging. Here, we experimentally implement a boson sampling protocol for simulating molecular vibronic spectra [J. Huh et al., Nat. Photonics 9, 615 (2015)NPAHBY1749-488510.1038/nphoton.2015.153] in a two-mode superconducting device. In addition to enacting the requisite set of Gaussian operations across both modes, we fulfill the scalability requirement by demonstrating, for the first time in any platform, a high-fidelity single-shot photon number resolving detection scheme capable of resolving up to 15 photons per mode. Furthermore, we exercise the capability of synthesizing non-Gaussian input states to simulate spectra of molecular ensembles in vibrational excited states. We show the reprogrammability of our implementation by extracting the spectra of photoelectron processes in H₂O, O₃, NO₂, and SO₂. The capabilities highlighted in this work establish the superconducting architecture as a promising platform for bosonic simulations, and by combining them with tools such as Kerr interactions and engineered dissipation, enable the simulation of a wider class of bosonic systems.
MIT Department
Massachusetts Institute of Technology. Department of Physics
MIT-Harvard Center for Ultracold Atoms
Massachusetts Institute of Technology. Research Laboratory of Electronics
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1103/physrevx.10.021060