Name | icquantum JSON |
Version |
0.0.4
JSON |
| download |
home_page | None |
Summary | Support tooling for Quantum Computing simulations. |
upload_time | 2024-09-27 14:38:28 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.8 |
license | None |
keywords |
quantum computing
workflow
hpc
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
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Travis-CI |
No Travis.
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coveralls test coverage |
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# icquantum
This project has tools for building and running Quantum Circuit simulations. It is used in some ICHEC projects and [demos](https://git.ichec.ie/performance/recipes/quantum).
## Installing ##
The package is available on PyPI, you can install it with:
``` shell
pip install icquantum
```
## Features ##
### Benchmarking ###
You can run a named quantum circuit from a benchmark as follows:
``` shell
icquantum benchmark --circuit sample
```
At the moment the library has a single built-in circuit `sample` and the [MQT Bench](https://github.com/cda-tum/mqt-bench) benchmark. Circuits for the later are namespaced with `mqtbench:`, so you can launch one with:
``` shell
icquantum benchmark --circuit mqtbench:dj
```
for example. The are many other command line arguments allowing control over number of circuits and iterations run and Qiskit runtime settings. They can be seen with:
``` shell
icquantum benchmark --help
```
## License ##
This software is Copyright ICHEC 2024 and can be re-used under the terms of the GPL v3+. See the included `LICENSE` file for details.
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