QIRT - Quantum Information Research Toolkit
A quantum information research toolkit based on Qiskit, designed to facilitate research and development in quantum information science.
Quick Start
-
Install QIRT using pip:
pip install QIRT
-
Set up Jupyter Notebook (if not already installed):
pip install jupyter jupyter notebook
Basic Usage in Jupyter Notebook
Create a new notebook and run the following:
from QIRT import QuantumState, QuantumCircuit
# Create a quantum state
state = QuantumState.from_label('00')
# Visualize the state
state.draw()
# Create a quantum circuit
circuit = QuantumCircuit(2)
circuit.h(0) # Apply Hadamard gate to the first qubit
circuit.cx(0, 1) # Apply CNOT gate
# Apply circuit to state
final_state = state.apply(circuit)
final_state.draw()
Documentation
For detailed documentation, tutorials, and how-to guides, visit our documentation website.
- Tutorials: Learn the basics of QIRT with hands-on examples.
- How-To Guides: Detailed instructions for specific tasks.
- API Reference: Detailed descriptions of QIRT functions, classes, and modules.
Requirements
- Python >= 3.10
- qiskit[visualization] >= 1.1.0
- IPython >= 8.24.0
- Jupyter Notebook (for visualization)
Configuration
QIRT can be configured using ~/.QIRT/config.ini. See the documentation for more details.
License
This project is open source under the MIT license. Note that separately installed extensions are not part of the QIRT project and have their own licenses.
Support
If you encounter any issues or have questions, please open an issue on our GitHub repository.
Metadata
Release files for QIRT 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qirt-1.3.0.tar.gz | 67.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| QIRT-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 96.1 kB
Release files / qirt-1.3.0.tar.gz
| Download URL | qirt-1.3.0.tar.gz |
|---|---|
| Size | 67.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-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/3.12.7
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Transparency logRelease files / QIRT-1.3.0-py3-none-any.whl
| Download URL | QIRT-1.3.0-py3-none-any.whl |
|---|---|
| Size | 28.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 31, 2024.
Transparency log