envelopes-qc

High performance tools for building and decoding envelopes used in superconducting qubit experiments.

The core is a C++ extension (pybind11) with a matching pure-Python implementation:

envelopes.evc — C++ accelerated implementation
envelopes.evp — pure-Python (numpy/scipy) implementation, used for cross-validation

Both expose the same API and agree to float32 precision (cross-checked by the test suite).

Requirements

Python >= 3.9
A C++17 compiler: MSVC (Visual Studio 2019+) on Windows, or gcc/clang on Linux
Runtime: numpy, scipy (installed automatically)

The libcerf sources (v3.1, MIT licence) are vendored in src/libcerf/ and compiled directly into the extension, so no system packages are required on Windows or Linux.

Build

Build a wheel:

python -m build -w

Or build from source:

Clone the repository to your machine.
Install the package locally with one of the following commands:

# Development build (compile in place)
python setup.py build_ext --inplace

# Install into the active Python environment
pip install .

Tests

python -m pytest tests/

tests/test_wave_data.py — cross-checks every envelope class between the C++ and pure-Python implementations
tests/test_vendored_cerf.py — verifies the vendored libcerf complex error function against independent references

Usage

from envelopes import evc
import numpy as np

# Create a GaussianDRAG envelope
center = 15
width = 10
pi_pulse = evc.GaussianDRAG(
    t0=center, w=width, amp=1.0, coef=0.5, df=0.1, phase=0.0
)

# Schedule multiple pulses
amp = np.array([1, 0.3, 0.7, 0.8])
dt = np.array([0, 50, 100, 200])
xy = evc.align(pi_pulse, dt, amp)  # align the envelope to the given dt and amplitude

# The following code has equivalent effect but is less efficient:
# xy = 0
# for _dt, _amp in zip(dt, amp):
#     xy += (pi_pulse >> _dt) * _amp

# Decode the envelope
resolution = 0.5
wc = evc.WaveCache(resolution)
# t, wave = evc.decode_envelope(xy, wc)  # default start and end from the envelope
t_start, wave = evc.decode_envelope(xy, wc, start=-50, end=250)
# wave is a zero-copy numpy ndarray over a freshly-allocated buffer,
# so it is safe to modify in place without affecting the WaveCache
t_list = np.arange(t_start, t_start + len(wave) * resolution, resolution)

import matplotlib.pyplot as plt

plt.figure()
plt.plot(t_list, wave.real, '.-', label='real')
plt.plot(t_list, wave.imag, '.-', label='imag')
plt.legend()
plt.xlabel('time')
plt.ylabel('amplitude')
plt.tight_layout()
plt.show()

Project Structure

envelopes-qc/
├── envelopes/          # Python package
│   ├── envelopes_cpp   # C++ extension (.pyd on Windows, .so on Linux, built)
│   ├── envelopes_py.py # pure-Python implementation
│   └── envelopes_cpp.pyi
├── src/                # C++ sources of the extension
│   ├── bind.cpp        # pybind11 bindings
│   ├── envelopes.cpp   # envelope implementations
│   ├── envelopes.h
│   ├── sha256.h
│   └── libcerf/        # vendored libcerf v3.1 (MIT, see LICENSE inside)
├── tests/              # pytest suite + notebooks
├── docs/               # documentation
├── pyproject.toml
└── setup.py

Supported Envelopes

See tests/supported_envelopes.ipynb and the detailed envelope reference in docs/envelope_reference.md.

Speed Test

See tests/speed_test.ipynb.

Documentation

Detailed usage documentation is available in the docs/ folder. Start from docs/index.md:

docs/index.md — documentation entry point
docs/quickstart.md — quick start guide
docs/concepts.md — core concepts (WaveCache, operators, serialization)
docs/envelope_reference.md — parameter reference for every envelope class
docs/api_reference.md — module-level functions and operators
docs/examples.md — complete usage examples

License

MIT License — see LICENSE. The vendored libcerf in src/libcerf/ is also MIT licensed (see src/libcerf/LICENSE).

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