qutip-cuquantum
Provide cuQuantum's cuDensityMat as a backend for QuTiP.
This backend is specifically designed for simulating large, composite quantum systems by performing tensor network contractions on the GPU.
Installation
qutip-cuquantum is available on pypi.
pip install -U qutip>=5.2.1
pip install qutip-cuquantum
It require cuquantum to be installed at runtime. If you have cuda already installed, you can install dependencies with:
pip install qutip-cuquantum[cuda11]
or
pip install qutip-cuquantum[cuda12]
If it does not work, you may need to install cuQuantum yourself, see nvidia's documentation for installation instruction.
Usage
In simple case, simply calling set_as_default before a qutip script should be sufficient to use the backend in common solver:
import qutip_cuquantum
from cuquantum.densitymat import WorkStream
qutip_cuquantum.set_as_default(WorkStream())
It can also be used as a context:
with CuQuantumBackend(ctx):
...
qutip-cuquantum work well to speed-up large simulation using mesolve or sesolve.
However this backend is not compatible with advanced qutip solvers (brmesolve, HEOM) and other various feature.
Release files for qutip-cuquantum 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| qutip_cuquantum-0.3.1.tar.gz | 27.9 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qutip_cuquantum-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 48.5 kB
Release files / qutip_cuquantum-0.3.1.tar.gz
| Download URL | qutip_cuquantum-0.3.1.tar.gz |
|---|---|
| Size | 27.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / qutip_cuquantum-0.3.1-py3-none-any.whl
| Download URL | qutip_cuquantum-0.3.1-py3-none-any.whl |
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| Size | 20.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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Signed by GitHub Actions, verified by PyPI on Jun 29, 2026.
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