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-0.3.0.tar.gz
(396.9 kB
view details)
Built Distribution
pyqtorch-0.3.0-py3-none-any.whl
(36.3 kB
view details)
File details
Details for the file pyqtorch-0.3.0.tar.gz.
File metadata
- Download URL: pyqtorch-0.3.0.tar.gz
- Upload date:
- Size: 396.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.23.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bc5d6030a98235f98fc03aa527df2d2e1ecb4e7b38644ac6ddf7ac07da61f6cf |
|
| MD5 | 9704e77043cb4be4c84e0d92b488e4f9 |
|
| BLAKE2b-256 | 025613a79243d5ea1c77f8ad8ee9a5b627788f25a0db23037f50de6798489bbe |
File details
Details for the file pyqtorch-0.3.0-py3-none-any.whl.
File metadata
- Download URL: pyqtorch-0.3.0-py3-none-any.whl
- Upload date:
- Size: 36.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.23.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | af8f3d2cad32d0216034e7b8902f0a4fea360d668c2284e34af1ede9e74869b9 |
|
| MD5 | 90f07efd8c7d9efbc3932982c8704524 |
|
| BLAKE2b-256 | 687dce0c9ada6530103c0a78e8d766dcab00c15a87ceef95aeb5468c88518340 |
