Getting Started#

QCANT currently ships with a small template-derived API.

Installation#

QCANT requires scientific Python dependencies (installed automatically when you install QCANT):

  • numpy<2 and scipy<2

  • pennylane

  • pyscf

  • autoray<0.7

For development (recommended: conda env for the full stack):

conda env create -f devtools/conda-envs/qcant.yaml
conda activate qcant
pip install -e . --no-deps

For development (pip/venv):

pip install -e .

To enable the optional Qulacs backend:

pip install -e ".[qulacs]"

Quickstart#

import QCANT

print(QCANT.canvas())

You should see a short quote printed.