Evidence map›Paper›PMID 37521801›Full record

ArticleACS central science2023

The Role of Experimental Noise in a Hybrid Classical-Molecular Computer to Solve Combinatorial Optimization Problems.

Veronica K Krasecki, Abhishek Sharma, Andrew C Cavell, Christopher Forman, Si Yue Guo, Evan Thomas Jensen, Mackinsey A Smith, Rachel Czerwinski, Pascal Friederich, Riley J Hickman and 4 more

Abstract read
In one paragraph

Article in ACS central science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

14 authors.

Veronica K KraseckiDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Abhishek SharmaDepartment of Chemistry, University of Glasgow, Glasgow, G12 8QQ, United Kingdom.
Andrew C CavellDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Christopher FormanDepartment of Chemistry, Northwestern University, Evanston, Illinois 60208, United States.
Si Yue GuoDepartment of Chemistry, University of Toronto, Toronto, Ontario MS5 3H6, Canada.
Evan Thomas JensenDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Mackinsey A SmithDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0002-4685-316X
Rachel CzerwinskiDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0009-0003-3967-7983
Pascal FriederichDepartment of Chemistry, University of Toronto, Toronto, Ontario MS5 3H6, Canada.ORCID https://orcid.org/0000-0003-4465-1465
Riley J HickmanDepartment of Chemistry, University of Toronto, Toronto, Ontario MS5 3H6, Canada.
Nathan GianneschiDepartment of Chemistry, Northwestern University, Evanston, Illinois 60208, United States.ORCID https://orcid.org/0000-0001-9945-5475
Alán Aspuru-GuzikDepartment of Chemistry, University of Toronto, Toronto, Ontario MS5 3H6, Canada.ORCID https://orcid.org/0000-0002-8277-4434
Leroy CroninDepartment of Chemistry, University of Glasgow, Glasgow, G12 8QQ, United Kingdom.ORCID https://orcid.org/0000-0001-8035-5757
Randall H GoldsmithDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0001-9083-8592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical and molecular-based computers may be promising alternatives to modern silicon-based computers. In particular, hybrid systems, where tasks are split between a chemical medium and traditional silicon components, may provide access and demonstration of chemical advantages such as scalability, low power dissipation, and genuine randomness. This work describes the development of a hybrid classical-molecular computer (HCMC) featuring an electrochemical reaction on top of an array of discrete electrodes with a fluorescent readout. The chemical medium, optical readout, and electrode interface combined with a classical computer generate a feedback loop to solve several canonical optimization problems in computer science such as number partitioning and prime factorization. Importantly, the HCMC makes constructive use of experimental noise in the optical readout, a milestone for molecular systems, to solve these optimization problems, as opposed to

Identifiers

PMID37521801
PMCPMC10375572

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Registered trials

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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.