Evidence map›Paper›PMID 36707539›Full record

ArticleScientific reports2023

CMOS-compatible ising machines built using bistable latches coupled through ferroelectric transistor arrays.

Antik Mallick, Zijian Zhao, Mohammad Khairul Bashar, Shamiul Alam, Md Mazharul Islam, Yi Xiao, Yixin Xu, Ahmedullah Aziz, Vijaykrishnan Narayanan, Kai Ni and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Antik MallickDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA.
Zijian ZhaoDepartment of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY, 14623, USA.
Mohammad Khairul BasharDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA.
Shamiul AlamDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 37996, USA.
Md Mazharul IslamDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 37996, USA.
Yi XiaoDepartment of Computer Science and Engineering, Pennsylvania State University, State College, PA, 16801, USA.
Yixin XuDepartment of Computer Science and Engineering, Pennsylvania State University, State College, PA, 16801, USA.
Ahmedullah AzizDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 37996, USA.
Vijaykrishnan NarayananDepartment of Computer Science and Engineering, Pennsylvania State University, State College, PA, 16801, USA.
Kai NiDepartment of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY, 14623, USA.
Nikhil ShuklaDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA. ns6pf@virginia.edu.

Funding

Army Research Office W911NF-21-1-0341NSF ASCENT 2132918
6 · The paper itself

Abstract

Realizing compact and scalable Ising machines that are compatible with CMOS-process technology is crucial to the effectiveness and practicality of using such hardware platforms for accelerating computationally intractable problems. Besides the need for realizing compact Ising spins, the implementation of the coupling network, which describes the spin interaction, is also a potential bottleneck in the scalability of such platforms. Therefore, in this work, we propose an Ising machine platform that exploits the novel behavior of compact bi-stable CMOS-latches (cross-coupled inverters) as classical Ising spins interacting through highly scalable and CMOS-process compatible ferroelectric-HfO

Identifiers

PMID36707539
PMCPMC9883258

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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.