近日,来自 南洋理工大学计算与数据科学学院(NTU)、新加坡国立大学量子技术中心(CQT)、鸿海研究院(Hon Hai Research Institute) 的研究团队发布了一篇专为 AI 研究者与开发者 设计的 QML 教程,论文地址:Quantum Machine Learning: A Hands-...
近日,来自 南洋理工大学计算与数据科学学院(NTU)、新加坡国立大学量子技术中心(CQT)、鸿海研究院(Hon Hai Research Institute) 的研究团队发布了一篇专为 AI 研究者与开发者 设计的 QML 教程,论文地址:Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers(https://arxiv...
近日,来自 南洋理工大学计算与数据科学学院(NTU)、新加坡国立大学量子技术中心(CQT)、鸿海研究院(Hon Hai Research Institute) 的研究团队发布了一篇专为 AI 研究者与开发者 设计的 QML 教程,论文地址:Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers(https://arxiv...
This tutorial provides an overview of Quantum Machine Learning (QML), a relatively novel discipline that brings together concepts from Machine Learning (ML), Quantum Computing (QC) and Quantum Information (QI). The great development experienced by QC, partly due to the involvement of giant ...
There is a lab on Quantum Machine Learning is now available https://github.com/Microsoft/MLADS2018-QuantumML To work on this tutorial, you'll need to install the Quantum Development Kit, available for Windows 10, macOS, and for Linux. Please see the install guide for the Quantum Development...
Quantum machine learning. Nature 2017, 549, 195–202. [Google Scholar] [CrossRef] Oh, S.; Choi, J.; Kim, J. A tutorial on quantum convolutional neural networks (QCNN). In Proceedings of the 2020 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, ...
The use of quantum computing for machine learning is among the most exciting prospective applications of quantum technologies. However, machine learning tasks where data is provided can be considerably different than commonly studied computational tasks. In this work, we show that some problems that ar...
Quantum Machine Learning with PennyLane and Xanadu Quantum Codebook 32 -- 1:02:24 App QML Advantages for Medical Qiskit, Pennylane, TFQ 33 -- 22:04 App Parameter-Shift Rule Derivation — Part 1 PennyLane Tutorial 46 -- 30:59 App Gradients in Variational Quantum Algorithms 44 -- 31:27 ...
"Quantum machine learning models are kernel methods." arXiv:2101.11020 (2021). [2] Havlíček, Vojtěch, et al. "Supervised learning with quantum-enhanced feature spaces." Nature 567.7747 (2019): 209-212. [3] Huang, Hsin-Yuan, et al. "Power of data in quantum machine learning." Natur...
Figure 1: Example images used to train the QML algorithm [Transfer Learning for Computer Vision Tutorial]. Quantum computing is a new computational paradigm that has the potential to solve certain problems more efficiently which are difficult to solve on classical computers. Quantum ...