An efficient, large-scale emulator designed for quantum machine learning, seamlessly integrated with a PyTorch backend. Please refer to https://pyqtorch.readthedocs.io/en/latest/ for setup and usage info, along with the full documentation.
Project description
The author of this package has not provided a project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyqtorch-0.2.1.tar.gz
(387.7 kB
view details)
Built Distribution
pyqtorch-0.2.1-py3-none-any.whl
(29.9 kB
view details)
File details
Details for the file pyqtorch-0.2.1.tar.gz.
File metadata
- Download URL: pyqtorch-0.2.1.tar.gz
- Upload date:
- Size: 387.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.23.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | beba127f790eda58a792cdafb13cee41b3ed71027c4fc99d46efa9e0d401c82f |
|
| MD5 | 6046c4d7c0a7f57530541103e1fb1aeb |
|
| BLAKE2b-256 | da0dbd09d5cf12142e2f922153b1b8f454443887c4429527f4c2a2bdd2f39343 |
File details
Details for the file pyqtorch-0.2.1-py3-none-any.whl.
File metadata
- Download URL: pyqtorch-0.2.1-py3-none-any.whl
- Upload date:
- Size: 29.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.23.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 80d6537a34035398180b74f93b330da3356563d95a87c5acc96140ff598119d9 |
|
| MD5 | 95c30cdf371131a260e26cb6c9d3d30c |
|
| BLAKE2b-256 | 3e493ddeb2f12a1f63e495cf664cb6dc8ad0d14d8904183897352bb43750a0f5 |
