从qiskit-terra 0.19.0版本开始,qiskit.algorithms已经被重构为qiskit.algorithms模块,所以如果你的qiskit-terra版本是0.19.0或更高,你的导入语句应该是正确的。 如果你的qiskit-terra版本低于0.19.0,你可能需要更新你的库或使用旧的模块路径。不过,通常推荐更新到最新版本以获取最新的
fromqiskit.algorithmsimportVQEfromqiskit.algorithms.optimizersimportSLSQPfromqiskit.circuit.libraryimportTwoLocalnum_qubits=2ansatz=TwoLocal(num_qubits,'ry','cz')opt=SLSQP(maxiter=1000)vqe=VQE(ansatz,optimizer=opt) 绘制ansatz后就能看到量子电路中,θ[0]到θ[7]就是VQE优化器找到最小特征值的可变化参数。...
本文展示了使用Qiskit中VQE算法,绘制了选择优化器组的收敛到基态能量的图像。 importnumpyasnpimportpylabfromqiskitimportAerfromqiskit.opflowimportX,Z,Ifromqiskit.utilsimportQuantumInstance,algorithm_globalsfromqiskit.algorithmsimportVQE,NumPyMinimumEigensolverfromqiskit.algorithms.optimizersimportCOBYLA,L_BFGS_B,SLSQP...
你可以使用以下命令安装Qiskit：pip install qiskit qiskit-machine-learning代码示例：训练一个量子神经网络在这个示例中，我们将训练一个量子神经网络来解决一个二分类问题。import numpy as npfrom qiskit import Aer, QuantumCircuitfrom qiskit.circuit import ParameterVectorfrom qiskit_machine_learning.algorithms import...
Qiskit Algorithms Warning Qiskit Algorithms is no longer officially supported by IBM. Like any other Apache 2 licensed code, you are free to use it or/and extend it, but please be aware that it is under your own risk. Installation
qiskit_algorithms.optimizers#60 Open ElePT opened this issue Aug 22, 2023· 2 comments Comments Collaborator ElePT commented Aug 22, 2023 What should we add? As previously already discussed eg. in Qiskit/qiskit#8628 (comment), it would be great it all Qiskit Optimizers have the same ...
from qiskit.aqua.algorithms import Grover from qiskit.aqua.components.oracles import LogicalExpressionOracle 定义oracle,这里的逻辑表达式是用于搜索的条件 expression = 'a & b' 创建oracle oracle = LogicalExpressionOracle(expression) 实例化Grover算法
总体而言，机器学习是让计算机在大量数据中寻找数据规律，并根据数据规律对未知或主要数据趋势进行最终预测...
fromqiskitimportQuantumCircuit, Aer, executefromqiskit.visualizationimportplot_histogramfromqiskit.aqua.algorithmsimportGroverfromqiskit.aqua.components.oraclesimportLogicalExpressionOracle# 定义Oracle(假设我们要搜索的状态是 |11>)oracle = LogicalExpressionOracle('(A & B)')# 创建Grover算法实例grover = Grover(...
algorithms.amplitude_amplifiers.grover.GroverResult'> Success! Top measurement: 11 在例子中,top_measurement的结果是11,这是一个好的结果。因此,我们成功使用Grover找到了结果。 使用不同类型的类用于Grover的oracle 在上述例子中,我们使用QuantumCircuit作为Grover的oracle。然而,我们也可以使用qiskit.quantum_info....