Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Systematic literature review: Quantum machine learning and its applications
Quantum physics has changed the way we understand our environment, and one of its
branches, quantum mechanics, has demonstrated accurate and consistent theoretical …
branches, quantum mechanics, has demonstrated accurate and consistent theoretical …
Quantum computing models for artificial neural networks
Neural networks are computing models that have been leading progress in Machine
Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small-scale …
Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small-scale …
Towards quantum-native communication systems: New developments, trends, and challenges
A general approach to dropout in quantum neural networks
In classical machine learning (ML),“overfitting” is the phenomenon occurring when a given
model learns the training data excessively well, and it thus performs poorly on unseen data …
model learns the training data excessively well, and it thus performs poorly on unseen data …
Engineered dissipation to mitigate barren plateaus
Variational quantum algorithms represent a powerful approach for solving optimization
problems on noisy quantum computers, with a broad spectrum of potential applications …
problems on noisy quantum computers, with a broad spectrum of potential applications …
Entanglement entropy production in quantum neural networks
Abstract Quantum Neural Networks (QNN) are considered a candidate for achieving
quantum advantage in the Noisy Intermediate Scale Quantum computer (NISQ) era. Several …
quantum advantage in the Noisy Intermediate Scale Quantum computer (NISQ) era. Several …
Quantum embedding search for quantum machine learning
N Nguyen, KC Chen - IEEE Access, 2022 - ieeexplore.ieee.org
This paper introduces an automated search algorithm (QES, pronounced as “quest”), which
derives optimal design of entangling layout for supervised quantum machine learning. First …
derives optimal design of entangling layout for supervised quantum machine learning. First …