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...
from qiskit_machine_learning.kernelsimportQuantumKernel from qiskit.circuitimportParameterVector # 创建一个两量子比特的量子电路,作为特征映射 feature_dimension=2x=ParameterVector('x',feature_dimension)feature_map=QuantumCircuit(feature_dimension)# 对量子比特应用Hadamard门和RZ旋转门foriinrange(feature_dimension...
Quantum Machine Learning - Quantum Machine Learning (QML) is an interdisciplinary field that combines quantum commuting with machine learning to improve the performance of machine learning models. The quantum computers are capable of performing computati
21 - Variational Circuits and Quantum Simulation 22-Variational Circuits and Quantum Simulation 3 (Al 23 - Variational Circuits and Quantum Simulation 24 - Encoding Classical Information 25 - Ensemble Learning 26 - QBoost 27 - Clustering by Quantum Optimization 28 - Kernel Methods 29 - An Interferen...
Quantum machine learning Quantum machine learning is an emerging interdisciplinary research area at the intersection of quantum computing and machine learning. Quantum computers use effects such as quantum coherence and quantum entanglement to process information, which is fundamentally different from ...
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
Machine learning algorithms based on parametrized quantum circuits are prime candidates for near-term applications on noisy quantum computers. In this direction, various types of quantum machine learning models have been introduced and studied extensivel
CB Insight - Quantum Machine Learning 包括经典机器学习算法(classical machine learning algorithms)和Quantum AI的混合模式(hybrid model),将很快带来实际应用价值。 量子计算机需要准备专门的数据(specialized data preparation),量子算法和两字程序(Quantum algorithsm and Quantum programming)。简而言之,我们与经典计算机...
Artificial intelligence refers, among other things, to machines' capacity to demonstrate some degree of what humans consider "intelligence". This process is being driven by the rapid advancement of machine learning: getting ...
《Brief History of Machine Learning》 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机、神经网络、决策树、SVM、Adaboost到随机森林、Deep Learning. 《Deep Learning in Neural Networks: An Over…