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-0.2.3.tar.gz
(388.2 kB
view details)
Built Distribution
pyqtorch-0.2.3-py3-none-any.whl
(30.4 kB
view details)
File details
Details for the file pyqtorch-0.2.3.tar.gz.
File metadata
- Download URL: pyqtorch-0.2.3.tar.gz
- Upload date:
- Size: 388.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.23.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 65f48f572e4930b477701d20181abd479cedc3a44691fa2812f9263624396462 |
|
| MD5 | c9a71de3e3a0078cffed6281d18e601b |
|
| BLAKE2b-256 | 1810599599e85617ca9be4dd56850b53c6c7dbc47048c8b2498b6dbf70cdb298 |
File details
Details for the file pyqtorch-0.2.3-py3-none-any.whl.
File metadata
- Download URL: pyqtorch-0.2.3-py3-none-any.whl
- Upload date:
- Size: 30.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.23.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 3b63f6ee6012c9f510ecf9a8fc125c0f126d577a8a4b1e955a534d16cd8f23ae |
|
| MD5 | e6e1fc1ede4a3860da11762db2294dd4 |
|
| BLAKE2b-256 | d3ca5dfa7f17f905a09b1937698f8b1e474bcc84b3c5e33f8a266ff670d97e28 |
