Circuit simulation on 'ibmq_qasm_simulator' taking a lot of time

PennyLane Plugins PennyLane Qiskit
2

Hello @imakash !

As I mentioned in this post reply, I would suggest first updating your PennyLane installed version.

I also did some minor modifications to the code you shared:

import pennylane as qml
from pennylane import numpy as np
import time as time
import torch
import torch.nn as nn

dev = qml.device("default.qubit", wires=1)
@qml.qnode(dev, interface = 'torch')
def simple_qubit_circuit(inputs, theta):
    qml.RX(inputs, wires=0)
    qml.RY(theta, wires=0)
    return qml.expval(qml.PauliZ(0))
class QNet(nn.Module):
    def __init__(self):
        super().__init__()
        shapes = {
            "theta": ()
        }
        self.q = qml.qnn.TorchLayer(simple_qubit_circuit, shapes)
    
    def forward(self, input_value):
        return self.q(input_value)

x_train = np.array([0.2, 0.1, 0.2, 0.14, 0.11, 0.41, 0.55, 0.3, 0.31, 0.6])
x_train = torch.tensor(x_train)

model = QNet()
t1 = time.time()
out = model(x_train)
print("time taken for batch operations: {} seconds".format(time.time()-t1))

and I got:

time taken for batch operations: 0.005563020706176758 seconds

The time seems reasonable to me.

Does it help? :slight_smile: