Ryan Hanrui Wang

Hi, I think it should be ImageNet

Hi Sashwat, Thanks for your interest in our work! You can find the files in the `allconfigs` branch. We are currently refactoring the codebase and we will also provide refactored...

Hi Colin, Thanks for your interest in our work! We are refactoring the codebase so the code for QuantumNAS was moved to the `allconfigs` branch, `artifact` directory. Please have a...

Hi Colin, The `.py` files for QuantumNAS is available, for example, we can run `python examples/train.py examples/configs/mnist/four0123/train/super/u3cu3_s0/plain/blk8s1.1.1.yml` for the experiments. For QuantumNAT, we are still working on a cleaner version...

Hi Haoxiang, Thanks a lot for your interest in our work! The code for those two papers will appear as examples of TorchQuantum and we expect to release them in...

Hi 101kyul, Thank you for your question! For the AmplitudeEncoder, we need to use the Initialize function in the Qiskit. https://qiskit.org/documentation/stubs/qiskit.extensions.Initialize.html

Hi wcqc, Thanks for you question! We plan to support density matrix and mixed state in around 1-2 weeks. Meanwhile, we are implmenting the partial_trace_of_state_vector_as_mixture right now, should be finishing...

Thank you for your interest! we will keep you updated on the density matrix support!

Hi [hifi-hyp](https://github.com/hifi-hyp), The newly suggested way to use quantum device is to initialize it in `forward` like below: I will update the notebook soon. You may have a look at...

Hi Dikshant, We have implemented the mat_exp function and controlled unitary functions, one example can be found at: https://github.com/mit-han-lab/torchquantum/blob/dev/examples/hadamard_test/circ.py Let me know if you have any questions!