Zobrazeno 1 - 10
of 2 338
pro vyhledávání: '"Quantum machine learning"'
Autor:
Soohyun Park, Joongheon Kim
Publikováno v:
ETRI Journal, Vol 46, Iss 5, Pp 748-758 (2024)
This paper presents the basic quantum reinforcement learning theory and its applications to various engineering problems. With the advances in quantum computing and deep learning technologies, various research works have focused on quantum deep learn
Externí odkaz:
https://doaj.org/article/7b00199bdd254214af7c75562dd52391
Publikováno v:
ETRI Journal, Vol 46, Iss 5, Pp 793-805 (2024)
Entanglement is crucial for achieving quantum advantages. However, in the context of quantum machine learning, existing optimization strategies for generating quantum classifier circuits often result in unentangled circuits, indicating an underutiliz
Externí odkaz:
https://doaj.org/article/72616920a3a84c27b53c780e0e3936a7
Autor:
Qiuyu Xiang, Dongfen Li, Zhikang Hu, Yuhang Yuan, Yuchen Sun, Yonghao Zhu, You Fu, Yangyang Jiang, Xiaoyu Hua
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The World Health Organization states that early diagnosis is essential to increasing the cure rate for breast cancer, which poses a danger to women’s health worldwide. However, the efficacy and cost limitations of conventional diagnostic t
Externí odkaz:
https://doaj.org/article/7474259e2fa6485fa7831eff07f30ebe
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 10, Pp 1-12 (2024)
Abstract Quantum machine learning (QML) algorithms have demonstrated the power of quantum computing for solving complex problems and big data in certain tasks. In this study, we explore the capabilities of QML for the classification of real-world bio
Externí odkaz:
https://doaj.org/article/c4083d5b209b4c3f84e7214ffc1002ee
Publikováno v:
AI, Vol 5, Iss 3, Pp 1462-1481 (2024)
Image classification is an important application for deep learning. With the advent of quantum technology, quantum neural networks (QNNs) have become the focus of research. Traditional deep learning-based image classification involves using a convolu
Externí odkaz:
https://doaj.org/article/fce2da35660e4e4387ddcba723707167
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Tensor networks are emerging architectures for implementing quantum classification models. The branching multi-scale entanglement renormalization ansatz (BMERA) is a tensor network known for its enhanced entanglement properties. This paper i
Externí odkaz:
https://doaj.org/article/80c5af95134c4b34ab9e1aadad40321b
Publikováno v:
Fundamental Research, Vol 4, Iss 4, Pp 845-850 (2024)
Quantum machine learning has made remarkable progress in many important tasks. However, the gate complexity of the initial state preparation is seldom considered in lots of quantum machine learning algorithms, making them non-end-to-end. Herein, we p
Externí odkaz:
https://doaj.org/article/79dd52f9f1a1441bbbd5d82989ecc5f2
Benchmarking quantum versions of the kNN algorithm with a metric based on amplitude-encoded features
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract This work introduces a quantum subroutine for computing the distance between two patterns and integrates it into two quantum versions of the kNN classifier algorithm: one proposed by Schuld et al. and the other proposed by Quezada et al. Not
Externí odkaz:
https://doaj.org/article/ff41a605e2f14a9aa33a9b1776087364
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Alzheimer disease (AD) is among the most chronic neurodegenerative diseases that threaten global public health. The prevalence of Alzheimer disease and consequently the increased risk of spread all over the world pose a vital threat to human
Externí odkaz:
https://doaj.org/article/6dbc5ff8341941e18dc0b9db2bd6e09d
Autor:
Saad Zafar Khan, Nazeefa Muzammil, Salman Ghafoor, Haibat Khan, Syed Mohammad Hasan Zaidi, Abdulah Jeza Aljohani, Imran Aziz
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Accurate solar power forecasting is pivotal for the global transition towards sustainable energy systems. This study conducts a meticulous comparison between Quantum Long Short-Term Memory (QLSTM) and classical Long Short-Term Memory (LSTM) models fo
Externí odkaz:
https://doaj.org/article/80bd2cfad1a54b6aa2216bab5f6267a0