This repository contains an implementation of the algorithms presented in Topological Phase Estimation. It also features the code to generate the data for the experiments.
We recommend installing the package with conda, for example in the following way.
conda create -n top_phase_estimation python=3.8
conda activate top_phase_estimation
python -m pip install .
To run the examples or the experiments, change the last line to python -m pip install ".[experiments,notebooks]". `
We point to the location of functions from the paper.
- calculate the homology by filtering the circle:
segmentation.homology.signal_to_diagram, - estimate
N:segmentation.estimation_n.estimate_N, - estimate N without choosing
tau:segmentation.estimation_n.estimation_N_with_tree, - segmentation of
[0,1]:segmentation.segmentation.segment_signal_with_clustering.
The repository contains the data and code used to produce the experimental results from section 6.2.