QCGPU
Open Source, High Performance & Hardware Accelerated, Quantum Computer Simulator. Read the research paper.
Features:
- Written with OpenCL. Accelerated your simulations with GPUs and other accelerators, while still running cross device and cross platform.
- Simulation of arbitrary quantum circuits
- Includes example algorithm implementations
- Support for arbitrary gate creation/application, with many built in.
Installing
This library is distributed on PyPI and can be installed using pip:
$ pip install qcgpu
For more information read the full installing docs.
1 maintainer
Release files for qcgpu 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qcgpu-0.1.1.tar.gz | 6.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qcgpu-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.6 kB
Release files / qcgpu-0.1.1.tar.gz
| Download URL | qcgpu-0.1.1.tar.gz |
|---|---|
| Size | 6.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.6
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Release files / qcgpu-0.1.1-py3-none-any.whl
| Download URL | qcgpu-0.1.1-py3-none-any.whl |
|---|---|
| Size | 8.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.6
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