量子表达能力的例子报错

[xwshan]

import numpy as np import paddle import paddle_quantum as pq from paddle_quantum.ansatz.circuit import Circuit from paddle_quantum.visual import plot_state_in_bloch_sphere

num_qubit = 1 # 设定量子比特数 num_sample = 2000 # 设定采样次数 outputs_yz = list() # 储存采样电路输出 for _ in range(num_sample): # 初始化量子神经网络 cir = Circuit(num_qubit) cir.ry(0) cir.rz(0) # 输出态的密度矩阵 rho = cir(pq.state.zero_state(num_qubit)) outputs_yz.append(rho)

plot_state_in_bloch_sphere(outputs_yz, save_gif=True, filename='figures/bloch_yz.gif')

报错如下：

ValueError Traceback (most recent call last) [e:](file:///E:/)代码\Variational Algorithm\work_1\VQLS\1-1Revision\Expressibility测试2.py in line 9 39 cir.rz(0) 40 # 输出态的密度矩阵 ----> 41 rho = cir(pq.state.zero_state(num_qubit)) 42 outputs_yz.append(rho) 44 # plot_state_in_bloch_sphere(outputs_yz, save_gif=True, filename='figures/bloch_yz.gif')

File d:\Software\Anaconda3\anaconda3\envs\Qpaddle\lib\site-packages\paddle\nn\layer\layers.py:1254, in Layer.call(self, *inputs, **kwargs) 1245 if ( 1246 (not in_declarative_mode()) 1247 and (not self._forward_pre_hooks) (...) 1251 and (not in_profiler_mode()) 1252 ): 1253 self._build_once(*inputs, **kwargs) -> 1254 return self.forward(*inputs, **kwargs) 1255 else: 1256 return self._dygraph_call_func(*inputs, **kwargs)

File d:\Software\Anaconda3\anaconda3\envs\Qpaddle\lib\site-packages\paddle_quantum\ansatz\circuit.py:1696, in Circuit.forward(self, state) 1694 state = state.clone() 1695 state.is_swap_back = False -> 1696 state = super().forward(state) ... 1123 check_type(input, 'input', (list, tuple, Variable), 'concat')

ValueError: (InvalidArgument) The shape of input[0] and input[1] is expected to be equal.But received input[0]'s shape = [1], input[1]'s shape = []. [Hint: Expected inputs_dims[i].size() == out_dims.size(), but received inputs_dims[i].size():0 != out_dims.size():1.] (at ..\paddle/phi/kernels/funcs/concat_funcs.h:55)

paddle-quantum == 2.4.0 将circ.rz(0)改为ry和rx都是正常运行