Evidence map›Paper›PMID 37938550›Full record

ArticleNature communications2023

Probabilistic computing with NbO

Hakseung Rhee, Gwangmin Kim, Hanchan Song, Woojoon Park, Do Hoon Kim, Jae Hyun In, Younghyun Lee, Kyung Min Kim

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Light-Induced Entropy for Secure Vision.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  4. Review
  5. Article
  6. Probabilistic computing utilizing HfONature communications · 2026
    Article
  7. Article
  8. Article
  9. Multi-Physical Field Modulated P-Bit Device Based on VOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Bifurcation and Frequency Properties of S-Type Neuronic Oscillators.The journal of physical chemistry letters · 2025
    Review
  15. Article
  16. 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

8 authors.

Hakseung RheeDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.ORCID http://orcid.org/0000-0003-1682-3928
Gwangmin KimDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.ORCID http://orcid.org/0000-0002-6552-5508
Hanchan SongDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.ORCID http://orcid.org/0000-0003-2968-7216
Woojoon ParkDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Do Hoon KimDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Jae Hyun InDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.ORCID http://orcid.org/0000-0003-2598-3384
Younghyun LeeDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.ORCID http://orcid.org/0000-0002-8169-8978
Kyung Min KimDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea. km.kim@kaist.ac.kr.ORCID http://orcid.org/0000-0002-0190-4226

Funding

KAIST (Korea Advanced Institute of Science and Technology) N10230061National Research Foundation of Korea (NRF) 2022M3F3A2A01085466National Research Foundation of Korea (NRF) 2022M3I7A408548411National Research Foundation of Korea (NRF) 2023R1A2C200515911National Research Foundation of Korea (NRF) RS-2023-00216619
6 · The paper itself

Abstract

Energy-based computing is a promising approach for addressing the rising demand for solving NP-hard problems across diverse domains, including logistics, artificial intelligence, cryptography, and optimization. Probabilistic computing utilizing pbits, which can be manufactured using the semiconductor process and seamlessly integrated with conventional processing units, stands out as an efficient candidate to meet these demands. Here, we propose a novel pbit unit using an NbO

Identifiers

PMID37938550
PMCPMC10632392

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.