量子深度学习(quantum deep learning) 主要是指量子玻尔兹曼机(quantum Boltzmann Machine). 类似于经典的玻尔兹曼机,量子玻尔兹曼机的训练也是寻找一系列参数,来找到可以使得input training data近似满足玻尔兹曼分布(即统计物理里面的thermal分布)。量子算法相比经典算法的优势在于,更好的采样,更快的thermalize过程亦即更快的...
此命名空間提供量子機器學習應用程式中所使用的函式和作業。Description若要深入瞭解此量子機器學習連結庫,請參閱 Q# 中的 Quantum Machine Learning 連結庫簡介 檔。Operations展開資料表 名稱摘要 ApplySequentialClassifier 假設循序分類器的結構和參數化,請將分類器套用至量子位的緩存器。 EstimateClassification...
简而言之,我们与经典计算机的交互方式并不同样适用于量子计算机。 量子计算机器学习(Quantum machine learning)同样基于传统机器学习的基本原则,但是其算法被设计在量子处理器执行,这比传统的神经网络处理要更加的高效,也克服了目前AI研究在处理海量数据集(massive datasets)上的硬件限制。 有关两字神经网络- QNN(Quantum ...
Quantum machine learning (QML) can complement the growing trend of using learned models for a myriad of classification tasks, from image recognition to natural speech processing. There exists the potential for a quantum advantage due to the intractability of quantum operations on a classical computer....
25 - Ensemble Learning 26 - QBoost 27 - Clustering by Quantum Optimization 28 - Kernel Methods 29 - An Interference Circuit 30 - Probabilistic Graphical Models 31 - Optimization and Sampling in PGMs 32 - Quantum-Enhanced Kernel Methods 1 (Maria Sch 33 - Quantum-Enhanced Kernel Methods 2 (Mari...
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. machine-learningsystemdeep-learningneural-networkquantumpytorchquantum-computingquantum-machine-learningquantum-si...
Book description Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the discipli ... read full description Purchase book Share this bookBrowse...
Quantum Machine Learning 量子机器学习将量子计算应用于机器学习任务,通过量子算法加速模型训练和数据处理。例如,量子支持向量机(Quantum Support Vector Machine)和量子神经网络(Quantum Neural Networks)等。 ·量子优化 Quantum Optimization 量子计算在优化问题中具有优势,如组合优化和约束优化。量子算法能够在高维空间中找...
traditional computing methods was demonstrated [9]. The QC model was simulated using the Pennylane library on an Intel i-7 CPU, utilizing the Adam optimizer and sparse categorical cross-entropy as the loss function [9]. Overall, this shows that QC machine learning can significantly improve the ...
Quantum Machine Learning 量子机器学习是量子物理学和机器学习交叉领域的一个新兴的跨学科研究领域。通常是指用于分析在量子计算机上执行、演算经典数据的机器学习算法,其中同时包含了经典算法和量子算法的处理过程。特别地,量子算法是用于分析量子态而非经典数据。除了量子计算之外,量子机器学习也指代应用于量子实验产生的数...