Adding new examples and algorithms for TQ

mit-han-lab / torchquantum

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

https://torchquantum.org

MIT License

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Adding new examples and algorithms for TQ #264

Closed GenericP3rson closed 3 weeks ago

GenericP3rson commented 1 month ago

To enrich torchquantum's support of various algorithms, we need your help on implementing more quantum algorithms and examples in TQ! You may choose any quantum algorithm you like to implement such as QSVT or generative quantum models. Once complete, add a Python file and notebook to examples and (if you see fit) an algorithm to torchquantum/algorithms!

Please don't hesitate to let us know for any questions!

anonymousr007 commented 1 month ago

Hi @GenericP3rson, Nice to meet you.

I am Rishabh Singh, and I have been learning about quantum computing since 2020.

Experience - Qiskit, Pennylane and Cirq.
Participation - Quantum Hackathons, Qiskit Summer School and IBM Quantum Challenges.
Open Source Contribution - Cirq, Pennylane, Scikit-Learn.
I am interested in this issue and want to contribute under UnitaryHack.

Best Regards Rishabh Singh LinkedIn | GitHub

GenericP3rson commented 1 month ago

Hello, I've just assigned you the task! What are you planning to implement?

AbdullahKazi500 commented 1 month ago

@GenericP3rson and @GenericP3rson Quantum GANs PR implementation

Gopal-Dahale commented 1 month ago

@GenericP3rson, updated with QCBM's implementation and its example.