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 …
Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
Quantum computing is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …
and industries including computational science, mathematics, finance, pharmaceutical …
Review of distributed quantum computing. from single qpu to high performance quantum computing
The emerging field of quantum computing has shown it might change how we process
information by using the unique principles of quantum mechanics. As researchers continue …
information by using the unique principles of quantum mechanics. As researchers continue …
Quantum-Classical-Quantum Workflow in Quantum-HPC Middleware with GPU Acceleration
KC Chen, X Li, X Xu, YY Wang… - … Conference on Quantum …, 2024 - ieeexplore.ieee.org
Achieving high-performance computation on quantum systems is challenging, requiring
integration between quantum and classical computing resources. This study presents a …
integration between quantum and classical computing resources. This study presents a …
Quantum Support Vector Machine for Classification Task: A Review
M Akrom - Journal of Multiscale Materials Informatics, 2024 - dl.futuretechsci.org
Quantum computing has emerged as a promising technology capable of solving complex
computational problems more efficiently than classical computers. Among the various …
computational problems more efficiently than classical computers. Among the various …
Parameter-parallel distributed variational quantum algorithm
YF Niu, S Zhang, C Ding, WS Bao, HL Huang - SciPost Physics, 2023 - scipost.org
Variational quantum algorithms (VQAs) have emerged as a promising near-term technique
to explore practical quantum advantage on noisy intermediate-scale quantum (NISQ) …
to explore practical quantum advantage on noisy intermediate-scale quantum (NISQ) …
Introduction to quantum federated machine learning
Recent advances in both quantum computing and machine learning have focused
significant attention on efforts to combine these two fascinating technologies. The quantum …
significant attention on efforts to combine these two fascinating technologies. The quantum …
Quantum delegated and federated learning via quantum homomorphic encryption
Quantum learning models hold the potential to bring computational advantages over the
classical realm. As powerful quantum servers become available on the cloud, ensuring the …
classical realm. As powerful quantum servers become available on the cloud, ensuring the …
Distributed coordinate descent algorithm for variational quantum classification
I Koyasu, R Raymond, H Imai - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Quantum Machine Learning (QML) is one of promising applications for near-term quantum
computing. Two popular methods in QML are kernel methods and variational methods …
computing. Two popular methods in QML are kernel methods and variational methods …
Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
This tutorial intends to introduce readers with a background in AI to quantum machine
learning (QML)--a rapidly evolving field that seeks to leverage the power of quantum …
learning (QML)--a rapidly evolving field that seeks to leverage the power of quantum …