advanced_features

# PennyLane 高级功能 ## 目录 1. [模板与层](#templates-and-layers) 2. [变换](#transforms) 3. [脉冲编程](#pulse-programming) 4. [Catalyst 与 JIT 编译](#catalyst-and-jit-compilation) 5. [自适应电路](#adaptive-circuits) 6. [噪声模型](#noise-models) 7. [资源评估](#resource-estimation) ## 模板与层 ### 内置模板 python import pennylane as qml from pennylane.templates import * from pennylane import numpy as np dev = qml.device('default.qubit', wires=4) # 强纠缠层 @qml.qnode(dev) def circuit_sel(weights): StronglyEntanglingLayers(weights, wires=range(4)) return qml.expval(qml.PauliZ(0)) # 生成形状合适的权重 n_layers = 3 n_wires = 4 shape = StronglyEntanglingLayers.shape(n_layers, n_wires) weights = np.random.random(shape) result = circuit_sel(weights) ### 基本纠缠层 python @qml.qnode(dev) def circuit_bel(weights): # 简单的纠缠层 BasicEntanglerLayers(weights, wires=range(4)) return qml.expval(qml.PauliZ(0)) n_layers = 2 weights = np.random.random((n_layers, 4)) ### 随机层 python @qml.qnode(dev) def circuit_random(weights): # 随机电路结构 RandomLayers(weights, wires=range(4)) return qml.expval(qml.PauliZ(0)) n_layers = 5 weights = np.random.random((n_layers, 4)) ### 简化双设计 (Simplified Two Design) python @qml.qnode(dev) def circuit_s2d(weights): # 简化双设计 SimplifiedTwoDesign(initial_layer_weights=weights[0], weights=weights[1:], wires=range(4)) return qml.expval(qml.PauliZ(0)) ### 粒子守恒层 python @qml.qnode(dev) def circuit_particle_conserving(weights): # 保持粒子数（对化学计算很有用） ParticleConservingU1(weights, wires=range(4)) return qml.expval(qml.PauliZ(0)) shape = ParticleConservingU1.shape(n_layers=2, n_wires=4) weights = np.random.random(shape) ### 嵌入模板 python # 角度嵌入 @qml.qnode(dev) def angle_embed(features): AngleEmbedding(features, wires=range(4)) return qml.expval(qml.PauliZ(0)) features = np.array([0.1, 0.2, 0.3, 0.4]) # 幅度嵌入 @qml.qnode(dev) def amplitude_embed(features): AmplitudeEmbedding(features, wires=range(2), normalize=True) return qml.expval(qml.PauliZ(0)) features = np.array([0.5, 0.5, 0.5, 0.5]) # IQP 嵌入