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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
1.24k stars 184 forks source link

The Advantage of quantum-lstm versus classical lstm #127

Open cosdeneb opened 1 year ago

cosdeneb commented 1 year ago

Thank you very much for creating and uploading valuable resources for Quantum Machine Learning.

Among the codes you provided, I am interested in utilizing quantum LSTM. However, I'm curious about its advantages compared to classical LSTM. While classical LSTM seems to perform better in terms of the attached performance metrics, are there any advantages in terms of computational complexity or other aspects?

Thank you so much for your hard work!

GenericP3rson commented 7 months ago

Hey! Thanks so much for you interest! I myself am not too familiar with quantum LSTMs but pinging @MohammadrezaTavasoli (the creator of the example) if they would like to provide their expertise.