[HTML][HTML] Systematic literature review: Quantum machine learning and its applications

D Peral-García, J Cruz-Benito… - Computer Science …, 2024 - Elsevier
Quantum physics has changed the way we understand our environment, and one of its
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

HL Huang, XY Xu, C Guo, G Tian, SJ Wei… - Science China Physics …, 2023 - Springer
Quantum computing is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …

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 …

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 …

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) …

Introduction to quantum federated machine learning

SYC Chen, S Yoo - Federated Learning, 2024 - Elsevier
Recent advances in both quantum computing and machine learning have focused
significant attention on efforts to combine these two fascinating technologies. The quantum …

Quantum delegated and federated learning via quantum homomorphic encryption

W Li, DL Deng - Research Directions: Quantum Technologies, 2024 - cambridge.org
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 …

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 …

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Y Du, X Wang, N Guo, Z Yu, Y Qian, K Zhang… - arxiv preprint arxiv …, 2025 - arxiv.org
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 …