Quantum Reservoir Computing#
This folder contains:
Logistic map.ipynb - explains how to use quantum computers to predict time series
Download the requirements.txt
Setup#
Requires Python 3.10 or newer (tested with Python 3.14).
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Then open the notebooks in Jupyter, e.g. with pip install jupyterlab && jupyter lab.
The notebook takes about 10–15 minutes to execute, mostly in the two quantum reservoirs.
- Quantum Reservoir Computing: Logistic map
- 1. Setup
- 2. Import the necessary modules
- 3. We want to “learn” the logistic map from observations.
- 4. The setup
- 5. Helper functions to fit the model and run predictions
- 6. Fit the model with linear regression and run the predictions
- 7. Plot the predictions
- 8. Poincaré plot to see how well the logistic map was learned.