Example of a Quantum LSTM

Last update: Oct 31, 2022

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Overview

Example of a Quantum LSTM

Get the code:

git clone https://github.com/rdisipio/qlstm.git
cd qlstm

Create a Python 3.x virtual environment and install libraries:

python3 -m venv qml
source qml/bin/activate
pip3 install --upgrade pip
pip3 install -r requirements.txt

Test if it works with the classical LSTM from PyTorch:

$ ./example_pos.py -E 8 -H 4 -Q 0 -e 300

If everything works, you should see a training history like this:

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Comments

Using the qlstm for time-series prediction

Hi, Thanks for your precious work, I want to know due to the use of sigmoid and other activation functions, is it possible the qlstm for time-series prediction? Or the activation functions(in the core or QLSTM from QLSTM_pennylane file) should be changed? Can you please explain? And I want to change the activation functions in the LSTMTagger class can be deleted? I appreciate your answer in advance.

opened by artadp 3

Owner

Riccardo Di Sipio

Machine Learning Engineer at Ideal / Ceridian . NLP practitioner, Quantum Computing enthusiast. Former Research Assistant at U of Toronto and CERN LHC ATLAS

GitHub

Example of a Quantum LSTM

Related tags

Overview

Example of a Quantum LSTM

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Owner

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