from qiskit import Aer, execute from qiskit.aqua.algorithms import Shor from qiskit.aqua import QuantumInstance # 设置要因式分解的数 N = 15 # 创建Shor算法实例 shor = Shor(N) # 使用Qiskit的量子模拟器 backend = Aer.get_backend('qasm_simulator') quantum_instance = QuantumInstance(backend, shots...
from qiskit.visualization import plot_histogram 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 grover = Gro...
Qiskit is made up elements that work together to enable quantum computing. This element isAqua(Algorithms for QUantum computing Applications) providing a library of cross-domain algorithms upon which domain-specific applications can be built.
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() ...
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(...
aqua import aqua_globals, QuantumInstance from qiskit.aqua.algorithms import NumPyMinimumEigensolver, QAOA from qiskit.aqua.components.optimizers import COBYLA from qiskit.finance.ising import portfolio from qiskit.finance.applications.ising import portfolio from qiskit.finance.data_providers import Random...
to a qubit operator for use as input to an Aqua algorithms. The operator must be in qubit form at this stage since the execution target of the algorithm will be a quantum device, or simulator ,comprised of qubits and the mapping is needed as qubits behave differently than fermions. Once ...
Qiskit的基本使用教程Tutorials - Qiskit 0.44.2 documentation算法教程Algorithms Tutorials - Qiskit ...
compile it for the devices accessible via that provider. This means that any of the libraries built into Qiskit, be it for quantum applications and algorithms (Aqua), or benchmarking and noise estimation tools (Ignis), can all be developed and applied to multiple quantum computing technologies ...
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...