Quantum machine learning applied to condensed matter physics is the topic of the next section. Here, successful learning of quantum datasets arises through the use of clustering and classification methods. A dat
AI代码解释 from qiskitimportAer,QuantumCircuit 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Ha...
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-...
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...
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 Machine Learning is a novel field that merges classical Machine Learning with Quantum Information Processing, leveraging quantum computing principles like superposition and entanglement to address challenges in traditional machine learning, such as data volume and computational efficiency. ...
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
2. Quantum Machine Learning Frameworks Similar to TensorFlow and PyTorch for classical machine learning, quantum machine learning frameworks are beginning to emerge. Many tools like Google’s Cirq, IBM’s Qiskit, and PennyLane by Xanadu allow researchers to experiment with quantum algorithms more easily...
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。