This project has been archived by its maintainers, and is no longer receiving any updates.
Qiskit Research
This repository contains useful software utilities for running quantum computing research experiments using Qiskit and the IBM Quantum Services.
Installation
Clone this repository and install from source. For example,
git clone https://github.com/qiskit-research/qiskit-research.git
cd qiskit-research
pip install .
Documentation
Documentation is located here.
Contributing
For information on how to contribute to this project, please take a look at our contribution guidelines.
Citing
Qiskit Research is automatically uploaded to Zenodo with every release. Click the badge above to see all citation formats for all versions, or just use this BibTeX file.
Moved content
Previously, this repository also contained the code for several research papers that used Qiskit and the IBM Quantum Services. The code for these papers has moved to the following locations:
- Majorana zero mode generation: https://github.com/qiskit-community/mzm-generation
- Protein folding: https://github.com/qiskit-community/quantum-protein-folding
- Quantum simulation tutorial: https://github.com/qiskit-community/tutorial-quantum-sim
1 maintainer
Metadata
1 maintainer
Release files for qiskit-research 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qiskit_research-0.0.4.tar.gz | 26.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qiskit_research-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 60.0 kB
Release files / qiskit_research-0.0.4.tar.gz
| Download URL | qiskit_research-0.0.4.tar.gz |
|---|---|
| Size | 26.6 kB |
| Tags | Source |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/5.1.1 CPython/3.12.6
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Release files / qiskit_research-0.0.4-py3-none-any.whl
| Download URL | qiskit_research-0.0.4-py3-none-any.whl |
|---|---|
| Size | 33.4 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? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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