Data structure for quantum machine learningInput encodingQuery complexitiesSmoothed complexity analysisMachine learning has recently emerged as a fruitful area for finding potential quantum computational advantage. Many of the quantum-enhanced machine learning algorithms critically hinge upon the ability to ...
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...
Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes clear through the density matrix operator which can be readily approximated by neural network models, permitting a formulation of quantum physics in which physical observables ca... (展开全部) 作者简介 ·...
At the intersection of machine learning and quantum computing, quantum machine learning has the potential of accelerating data analysis, especially for quantum data, with applications for quantum materials, biochemistry and high-energy physics. Neverthel
Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Quantum systems produce atypical patterns that classical systems are thought not to produce efficiently, s
Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Quantum systems produce atypical patterns that classical systems are thought not to produce efficiently, s
Quantum Seminar 报告信息 Title A rigorous and robust quantum speed-up in supervised machine learning Speaker Yunchao Liu, UC Berkeley Time & Location 11:00am, Friday Feb 26, 2021 Online Zoom Meeting https://zoom.com.cn/j/66678733707 (可点“阅读原...
After researching further I found Quantum Machine Learning (QML), a concept that was pretty new to me at the time. This field is both exciting and useful; it could help resolve issues with computational and time complexities, like those that I faced. Hence, I chose QML as a topic for fu...
[3]A Survey of Quantum Learning Theory [4] Pitt, Leonard, and Leslie G. Valiant. "...