experiments

# 运行量子实验 本指南涵盖了量子实验的设计与执行，包括参数扫描、数据收集以及使用 ReCirq 框架。 ## 实验设计 ### 基础实验结构 python import cirq import numpy as np import pandas as pd class QuantumExperiment: """量子实验基类。""" def __init__(self, qubits, simulator=None): self.qubits = qubits self.simulator = simulator or cirq.Simulator() self.results = [] def build_circuit(self, **params): """根据给定参数构建电路。""" raise NotImplementedError def run(self, params_list, repetitions=1000): """使用参数扫描运行实验。""" for params in params_list: circuit = self.build_circuit(**params) result = self.simulator.run(circuit, repetitions=repetitions) self.results.append({ 'params': params, 'result': result }) return self.results def analyze(self): """分析实验结果。""" raise NotImplementedError ### 参数扫描 python import sympy # 定义参数 theta = sympy.Symbol('theta') phi = sympy.Symbol('phi') # 创建参数化电路 def parameterized_circuit(qubits, theta, phi): return cirq.Circuit( cirq.ry(theta)(qubits[0]), cirq.rz(phi)(qubits[1]), cirq.CNOT(qubits[0], qubits[1]), cirq.measure(*qubits, key='result') ) # 定义扫描 sweep = cirq.Product( cirq.Linspace('theta', 0, np.pi, 20), cirq.Linspace('phi', 0, 2*np.pi, 20) ) # 运行扫描 circuit = parameterized_circuit(cirq.LineQubit.range(2), theta, phi) results = cirq.Simulator().run_sweep(circuit, params=sweep, repetitions=1000) ### 数据收集 python def collect_experiment_data(circuit, sweep, simulator, repetitions=1000): """收集并组织实验数据。""" data = [] results = simulator.run_sweep(circuit, params=sweep, repetitions=repetitions) for params, result in zip(sweep, results): # 提取参数 param_dict = {k: v for k, v in params.param_dict.items()} # 提取测量结果 counts = result.histogram(key='result') # 以结构化格式存储 data.append({ **param_dict, 'counts': counts, 'total': repetitions }) return pd.DataFrame(data) # Co