Evidence map›Paper›PMID 37758803›Full record

ArticleScientific reports2023

A quantum-inspired probabilistic prime factorization based on virtually connected Boltzmann machine and probabilistic annealing.

Hyundo Jung, Hyunjin Kim, Woojin Lee, Jinwoo Jeon, Yohan Choi, Taehyeong Park, Chulwoo Kim

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

7 authors.

Hyundo Jung *Korea University, Seoul, Korea. guseh7274@gmail.com.
Hyunjin Kim *Korea University, Seoul, Korea.
Woojin LeeKorea University, Seoul, Korea.
Jinwoo JeonKorea University, Seoul, Korea.
Yohan ChoiKorea University, Seoul, Korea.
Taehyeong ParkKorea University, Seoul, Korea.
Chulwoo KimKorea University, Seoul, Korea. ckim@korea.ac.kr.

Funding

Samsung Research Funding & Incubation Center of Samsung Electronics SRFC-IT2101-03
6 · The paper itself

Abstract

Probabilistic computing has been introduced to operate functional networks using a probabilistic bit (p-bit), broadening the computational abilities in non-deterministic polynomial searching operations. However, previous developments have focused on emulating the operation of quantum computers similarly, implementing every p-bit with large weight-sum matrix multiplication blocks and requiring tens of times more p-bits than semiprime bits. In addition, operations based on a conventional simulated annealing scheme required a large number of sampling operations, which deteriorated the performance of the Ising machines. Here we introduce a prime factorization machine with a virtually connected Boltzmann machine and probabilistic annealing method, which are designed to reduce the hardware complexity and number of sampling operations. From 10-bit to 64-bit prime factorizations were performed, and the machine offers up to 1.2 × 10

Identifiers

PMID37758803
PMCPMC10533543

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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.