importnumpyasnpimportpylabfromqiskitimportAerfromqiskit.opflowimportX,Z,Ifromqiskit.utilsimportQuantumInstance,algorithm_globalsfromqiskit.algorithmsimportVQE,NumPyMinimumEigensolverfromqiskit.algorithms.optimizersimportCOBYLA,L_BFGS_B,SLSQPfromqiskit.circuit.libraryimportTwoLocal 首先,我们给VQE创建一个量子比特操作。
# Execution Imports from qiskit import Aer from qiskit.utils import QuantumInstance # Algorithm Imports from qiskit.algorithms import VQE from qiskit.algorithms.optimizers import CG 梯度框架能够用于基于梯度的VQE。首先,初始化Hamiltonian和波函数ansatz。 from qiskit.opflow import I, X, Z from qiskit.circ...
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 ...
Qiskit algorithms, which Qiskit machine-learning (ML) depends on, is no longer officially supported as of qiskit-community/qiskit-algorithms@4247d06. To continue improving the subset of Algorithms features that are relevant to Qiskit machine-learning, it has been proposed to migrate those from Algo...
from qiskit import BasicAer from qiskit.aqua.algorithms import VQE, QAOA from qiskit.aqua.components.optimizers import SPSA, COBYLA, POWELL from qiskit.aqua.components.variational_forms import RY from qiskit.aqua import QuantumInstance # QAOAで解くための設定 #optimizer = () optimizer = POWELL() ...
algorithms provided by Qiskit. In addition, the modular design facilitates rapid development and testing of new algorithms. Compatible classical optimizers are also provided for testing, validation and benchmarking. The new module offers a glimpse of the vast number of applications where quantum ...
问Qiskit自然VQE打印全量子电路EN通过兰德公司的这份报告，我们知道美国和中国目前在量子技术领域的竞争越来...
org/documentation/stubs/qiskit.algorithms.optimizers.nlopts.html#module-qiskit.algorithms.optimizers.nl...
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。
fromqiskitimportAerfromqiskit.opflowimportX,Z,Ifromqiskit.utilsimportQuantumInstance,algorithm_globalsfromqiskit.algorithmsimportVQEfromqiskit.algorithms.optimizersimportSLSQPfromqiskit.circuit.libraryimportTwoLocal 这里,我们使用VQE算法介绍中相同的才做符号。