Efficient Multiphoton Sampling of Molecular Vibronic Spectra on a Superconducting Bosonic Processor

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 config...

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Autores principales: Christopher S. Wang, Jacob C. Curtis, Brian J. Lester, Yaxing Zhang, Yvonne Y. Gao, Jessica Freeze, Victor S. Batista, Patrick H. Vaccaro, Isaac L. Chuang, Luigi Frunzio, Liang Jiang, S. M. Girvin, Robert J. Schoelkopf
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Publicado: American Physical Society 2020
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spelling oai:doaj.org-article:2910261018424baf80275eec39eead672021-12-02T15:32:24ZEfficient Multiphoton Sampling of Molecular Vibronic Spectra on a Superconducting Bosonic Processor10.1103/PhysRevX.10.0210602160-3308https://doaj.org/article/2910261018424baf80275eec39eead672020-06-01T00:00:00Zhttp://doi.org/10.1103/PhysRevX.10.021060http://doi.org/10.1103/PhysRevX.10.021060https://doaj.org/toc/2160-3308The 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 H_{2}O, O_{3}, NO_{2}, and SO_{2}. 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.Christopher S. WangJacob C. CurtisBrian J. LesterYaxing ZhangYvonne Y. GaoJessica FreezeVictor S. BatistaPatrick H. VaccaroIsaac L. ChuangLuigi FrunzioLiang JiangS. M. GirvinRobert J. SchoelkopfAmerican Physical SocietyarticlePhysicsQC1-999ENPhysical Review X, Vol 10, Iss 2, p 021060 (2020)
institution DOAJ
collection DOAJ
language EN
topic Physics
QC1-999
spellingShingle Physics
QC1-999
Christopher S. Wang
Jacob C. Curtis
Brian J. Lester
Yaxing Zhang
Yvonne Y. Gao
Jessica Freeze
Victor S. Batista
Patrick H. Vaccaro
Isaac L. Chuang
Luigi Frunzio
Liang Jiang
S. M. Girvin
Robert J. Schoelkopf
Efficient Multiphoton Sampling of Molecular Vibronic Spectra on a Superconducting Bosonic Processor
description 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 H_{2}O, O_{3}, NO_{2}, and SO_{2}. 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.
format article
author Christopher S. Wang
Jacob C. Curtis
Brian J. Lester
Yaxing Zhang
Yvonne Y. Gao
Jessica Freeze
Victor S. Batista
Patrick H. Vaccaro
Isaac L. Chuang
Luigi Frunzio
Liang Jiang
S. M. Girvin
Robert J. Schoelkopf
author_facet Christopher S. Wang
Jacob C. Curtis
Brian J. Lester
Yaxing Zhang
Yvonne Y. Gao
Jessica Freeze
Victor S. Batista
Patrick H. Vaccaro
Isaac L. Chuang
Luigi Frunzio
Liang Jiang
S. M. Girvin
Robert J. Schoelkopf
author_sort Christopher S. Wang
title Efficient Multiphoton Sampling of Molecular Vibronic Spectra on a Superconducting Bosonic Processor
title_short Efficient Multiphoton Sampling of Molecular Vibronic Spectra on a Superconducting Bosonic Processor
title_full Efficient Multiphoton Sampling of Molecular Vibronic Spectra on a Superconducting Bosonic Processor
title_fullStr Efficient Multiphoton Sampling of Molecular Vibronic Spectra on a Superconducting Bosonic Processor
title_full_unstemmed Efficient Multiphoton Sampling of Molecular Vibronic Spectra on a Superconducting Bosonic Processor
title_sort efficient multiphoton sampling of molecular vibronic spectra on a superconducting bosonic processor
publisher American Physical Society
publishDate 2020
url https://doaj.org/article/2910261018424baf80275eec39eead67
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