Qiskit Optimization ModuleThe Qiskit Optimization module enables easy, efficient modeling of optimization problems for developers and optimization experts without quantum expertise. It uses classical optimization best practices and masks complex quantum programming.Erica Cohen...
optimization stack * moving to a new optimization stack * use the internal Status directly * linting * rename penalize equality constraints converter * converter bug fixes * minor re-writing get_bet_merit_solution * minor re-writing get_bet_merit_solution * Fix unit tests related to quadratic ...
We encourage installing Qiskit Optimization via the pip tool (a python package manager). pip install qiskit-optimization pipwill handle all dependencies automatically and you will always install the latest (and well-tested) version. If you want to work on the very latest work-in-progress versions...
我们使用qiskit.transpiler.preset_passmanagers中的generate_preset_pass_manager开始创建转译器。在创建转译器时,我们一般只需要指定优化级optimization_level和后端backend。 from qiskit_ibm_runtime.fake_provider import FakeTokyo from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager backend =...
Qiskit Optimization 提供全方位的优化服务,包括优化问题的高级建模、将问题自动转换为各种所需的表示,以及一系列简单的量子优化方法。 总结 总之,虽然目前最快的超级计算机需要数年时间,但量子计算机可以迅速突破当前的加密方法。 尽管量子计算机将能够破解当今使用的许多加密技术,但预计它们将创造出防黑客的替代品。
{'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...
A Code Snippet of Qiskit Optimization Module # example to solve a quadraric problem using a Quantum optimization algorithm from qiskit.optimization import QuadraticProgram from qiskit.optimization.algorithms import GroverOptimizer from qiskit import Aer ...
exceptionQiskitOptimizationError(*message) GitHub Class for errors returned by Qiskit’s optimization module. Set the error message. with_traceback with_traceback() Exception.with_traceback(tb) – set self.__traceback__ to tb and return self. ...
Qiskit优化模型支持简单、高效率的优化问题建模,利用IBM的Decision Optimization CPLEX (DOcplex)建模工具。程序设计师只需要以他们平常的方式来写程序。今日的软件开发者不需要顾虑电子零组件例如逻辑组件与MOSFT,同样的,新发表的模型利用一个标准量子电路数据库优化资源,抽象编程的某个层级。
在上述代码中,optimization_level参数指定了优化的级别,数字越大,优化的程度越高。 可视化和验证受控闸门: 代码语言:txt 复制 simulator = Aer.get_backend('unitary_simulator') job = execute(qc, simulator) result = job.result() unitary = result.get_unitary(qc) ...