Gopal Ramesh Dahale

@dlasecki I tried to follow the code of the referenced tutorial in qiskit and used TorchConnector to train it, but the model does not seem to converge and it takes...

Let > @Gopal-Dahale may we help somehow? Let me make the code a little bit readable. You can find my current progress [here](https://github.com/Gopal-Dahale/QML-Qiskit). I was also trying to make a...

Rechecked the network. Seems fine to me. I have used `ListOp([Z])` as the observable which shows `PauliOp(Pauli('ZIII')` for 4 qubits. Does this mean that only the last qubit (`q3`) is...

@adekusar-drl Please review the new architecture.

@adekusar-drl Please review the new architecture with qiskit and pytorch only.

In brief, I am sliding a kernel of (3,3) with strides (2,2) on the image of size (8,8). The kernel will therefore have 9 inputs. The dot product of inputs...

@adekusar-drl Any feedback?

I used one qubit due to the long training time. Will more than one qubit using and a different ansatz (Data reuploading or not) is acceptable? Also please tell me...

> Classical CNN is a network where you alternate convolutional and pooling layers. Quantum CNN looks similar, but such networks are more flexible in my opinion. Indeed, the expectation is...

@adekusar-drl Please give some feedback.