`
class Net(nn.Module):
def init(self):
super(Net, self).init()
self.conv1 = nn.Conv2d(1, 6, kernel_size=5)
self.conv2 = nn.Conv2d(6, 16, kernel_size=5)
self.dropout = nn.Dropout2d()
self.fc1 = nn.Linear(256, 64)
self.fc2 = nn.Linear(64, 10)
# self.hybrid = Hybrid(qiskit.Aer.get_backend('qasm_simulator'), 100, np.pi / 2)
self.hybrid = [Hybrid(qiskit.Aer.get_backend('qasm_simulator'), 100, np.pi / 2) for i in range(10)]

def forward(self, x):
    x = F.relu(self.conv1(x))
    x = F.max_pool2d(x, 2)
    x = F.relu(self.conv2(x))
    x = F.max_pool2d(x, 2)
    x = self.dropout(x)
    # x = x.view(-1, 256)
    x = torch.flatten(x, start_dim=1)
    x = F.relu(self.fc1(x))
    x = self.fc2(x)
    x = torch.chunk(x, 10, dim=1)
    # x = self.hybrid(x)
    x = tuple([hy(x_) for hy, x_ in zip(self.hybrid, x)])
    return torch.cat(x, -1)

`
I tried to run this code with batch (32, 1, 28, 28) and obtained output shape was (1, 10), not (32, 10). It wasn't correct. I guess that self.hybrid always ouput with shape (1, 1) regarless the batch size. I mean that with input (32, 1) through self.hybrid I receive an output with shape (32, 1). Thank you.

I was learning from Your code but the class QuanvCircuit which defines self._circuit cant fetch quantum counts.
Could You please Help in fix the issue? Thanks in advance!

Dear author,

I am runing your code. But it appears ane error. I don't know how to fix it, althrough I reinstalled environment as you said but It is not workiing. It seems can not run circuit data, right?
The errors is:
`TypeError: (): incompatible function arguments. The following argument types are supported:
1. (self: qiskit_aer.backends.controller_wrappers.AerConfig, arg0: List[List[Tuple[Tuple[int, int], List[float]]]]) -> None

Invoked with: <qiskit_aer.backends.controller_wrappers.AerConfig object at 0x0000025F3E64C0B0>, [[[(0, 0), 0], [(1, 0), 0], [(2, 0), 0], [(3, 0), 0], [(4, 0), 0], [(5, 0), 0], [(6, 0), 0], [(7, 0), 0], [(8, 0), 0], [(9, 0), 0], [(10, 0), 0], [(11, 0), 0], [(12, 0), 0], [(13, 0), 0], [(14, 0), 0], [(15, 0), 0], [(16, 0), 0], [(17, 0), 0], [(18, 0), 0], [(19, 0), 0], [(20, 0), 0], [(21, 0), 0], [(22, 0), 0], [(23, 0), 0], [(24, 0), 0]]] `

Hello. Thank you for the interesting project.

In classQuanvCircuit, '+=' in the init function definition was replaced with two lines because QuantumCircuit said it could not be used. Does this mean the same thing? I also wonder if there is a better solution.

# self._circuit += random_circuit(self.n_qubits, 2) self._circuit = random_circuit(self.n_qubits, 1) #replaced self._circuit = random_circuit(self.n_qubits, 1) #replaced