Evidence map›Paper›PMID 37712022›Full record

ArticleChemical science2023

Predicting molecular vibronic spectra using time-domain analog quantum simulation.

Ryan J MacDonell, Tomas Navickas, Tim F Wohlers-Reichel, Christophe H Valahu, Arjun D Rao, Maverick J Millican, Michael A Currington, Michael J Biercuk, Ting Rei Tan, Cornelius Hempel and 1 more

Abstract read
In one paragraph

Article in Chemical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ryan J MacDonellSchool of Chemistry, University of Sydney NSW 2006 Australia ivan.kassal@sydney.edu.au.ORCID https://orcid.org/0000-0002-0459-9546
Tomas NavickasSchool of Physics, University of Sydney NSW 2006 Australia cornelius.hempel@psi.ch.ORCID https://orcid.org/0000-0001-6840-6267
Tim F Wohlers-ReichelSchool of Physics, University of Sydney NSW 2006 Australia cornelius.hempel@psi.ch.
Christophe H ValahuSchool of Physics, University of Sydney NSW 2006 Australia cornelius.hempel@psi.ch.ORCID https://orcid.org/0000-0002-6763-7132
Arjun D RaoSchool of Physics, University of Sydney NSW 2006 Australia cornelius.hempel@psi.ch.ORCID https://orcid.org/0009-0006-2513-6950
Maverick J MillicanSchool of Physics, University of Sydney NSW 2006 Australia cornelius.hempel@psi.ch.
Michael A CurringtonSchool of Chemistry, University of Sydney NSW 2006 Australia ivan.kassal@sydney.edu.au.
Michael J BiercukSchool of Physics, University of Sydney NSW 2006 Australia cornelius.hempel@psi.ch.ORCID https://orcid.org/0000-0002-4371-2580
Ting Rei TanSchool of Physics, University of Sydney NSW 2006 Australia cornelius.hempel@psi.ch.ORCID https://orcid.org/0000-0003-4520-6419
Cornelius HempelSchool of Physics, University of Sydney NSW 2006 Australia cornelius.hempel@psi.ch.ORCID https://orcid.org/0000-0002-4053-722X
Ivan KassalSchool of Chemistry, University of Sydney NSW 2006 Australia ivan.kassal@sydney.edu.au.ORCID https://orcid.org/0000-0002-8376-0819

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spectroscopy is one of the most accurate probes of the molecular world. However, predicting molecular spectra accurately is computationally difficult because of the presence of entanglement between electronic and nuclear degrees of freedom. Although quantum computers promise to reduce this computational cost, existing quantum approaches rely on combining signals from individual eigenstates, an approach whose cost grows exponentially with molecule size. Here, we introduce a method for scalable analog quantum simulation of molecular spectroscopy: by performing simulations in the time domain, the number of required measurements depends on the desired spectral range and resolution, not molecular size. Our approach can treat more complicated molecular models than previous ones, requires fewer approximations, and can be extended to open quantum systems with minimal overhead. We present a direct mapping of the underlying problem of time-domain simulation of molecular spectra to the degrees of freedom and control fields available in a trapped-ion quantum simulator. We experimentally demonstrate our algorithm on a trapped-ion device, exploiting both intrinsic electronic and motional degrees of freedom, showing excellent quantitative agreement for a single-mode vibronic photoelectron spectrum of SO

Identifiers

PMID37712022
PMCPMC10498668

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.