transpiler = generate_preset_pass_manager(optimization_level=3, backend=backend) 调用转译器的方式也非常简单,和用后端执行电路几乎一模一样。 from qiskit import QuantumCircuit qc = QuantumCircuit(2) qc.h(0) qc.cx(0, 1) qc.x(1) transpiled_qc = transpiler.run(qc) print(qc.draw()) print(t...
{'qiskit': '0.45.0', 'qiskit-aer': '0.13.0', 'qiskit-ignis': None, 'qiskit-ibmq-provider': '0.20.2', 'qiskit-nature': None, 'qiskit-finance': None, 'qiskit-optimization': None, 'qiskit-machine-learning': None} 之后我们需要在IBM的官网上注册账号来获取API代码,这是我们和IBM的量子...
- Ising Optimization: The 0-1 Knapsack problem (#878) - VQE, VQC and QSVM accept `QuantumCircuit`s as variational forms/feature maps (#905) - New `GSLS` (Gaussian Smoothing Line Search) optimizer for variational algorithms (#877) - Qiskit optimization, an application stack for solving qua...
The Qiskit Optimization module enables easy, efficient modeling of optimization problems usingDOcplex– IBM Decision Optimization CPLEX modeling. Programmers need only program as they normally would for the problem they are trying to solve. Just as today’s software developers do not need to concern t...
""" Test Graph Partition """ import unittest from test.optimization import QiskitOptimizationTestCase import numpy as np from qiskit import BasicAer from qiskit.circuit.library import RealAmplitudes from qiskit.aqua import aqua_globals, QuantumInstance from qiskit.optimization.applications.ising import ...
Qiskit has a wealth of circuit optimization passes, many of which are tailored to the IBM quantum systems and their basis gates. Employing similar methods for trapped ion systems, and in particular exploring and extending the noise-aware compilation strategies in Qiskit to this new platform is a...
qc = QuantumCircuit(num_qubits) 在上述代码中,num_qubits代表量子电路中量子比特的数量。 构建受控闸门: 受控闸门是由多个单比特门和一个控制比特组成。可以使用以下代码创建一个受控闸门: 代码语言:txt 复制 qc.cx(control_qubit, target_qubit) 在上述代码中,control_qubit是控制比特的索引,target_qubit是目标比...
And using the Qiskit Transpiler Service, users can reduce circuit depth by combining AI and heuristic passes, compared to using the Qiskit SDK without AI optimization. “The global adoption of quantum computing — and the discovery of quantum advantage — will require a combination of leading quant...
from qiskit import QuantumCircuit, transpile from qiskit_ibm_provider import IBMProvider # Save account credentials. IBMProvider.save_account(token='<YOUR-IBM-API-TOKEN>') # Load previously saved account credentials. provider = IBMProvider() ...
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越激烈，并且在三个主要的应用...