pdft 0.2.2

Python port of ParametricDFT.jl: learning parametric quantum Fourier transforms via manifold optimization.

pdft

A Python port of ParametricDFT.jl: learning parametric quantum Fourier transforms via manifold optimization. The package implements a variational approach that approximates the Discrete Fourier Transform (DFT) with parameterized quantum circuits.

Status: early scaffold. The Julia package is the reference implementation; this repository will grow the Python equivalent incrementally.

Installation

Once published on PyPI:

pip install pdft

From source:

git clone https://github.com/zazabap/pdft.git
cd pdft
pip install -e ".[dev]"

Quick start

(coming soon — mirrors the make example demo in the upstream Julia package)

Background

See the upstream notes for the theory:

• note/stepbystep.pdf
• note/main.pdf

License

MIT. See LICENSE. This project is a derivative port of ParametricDFT.jl (Copyright © 2025 nzy1997, MIT).