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<picture>
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<p><strong>Quantum circuits, simplified.</strong></p>
[](https://badge.fury.io/py/quantiq)
[](https://www.python.org/downloads/)
[](https://opensource.org/licenses/MIT)
[](https://github.com/tony-siqurity-ai/quantiq-web)
[Website](https://quantiq.dev) • [Documentation](https://quantiq.dev/docs) • [Examples](./examples)
</div>
---
## 🚀 Quick Start
```bash
pip install quantiq-dev
```
```python
from quantiq import QuantumCircuit
# Create a Bell state (quantum entanglement)
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc.measure_all()
# Run the circuit
result = qc.run(shots=1000)
print(result)
```
**That's it!** You just created quantum entanglement.
---
## 🎯 What is quantIQ?
**quantIQ** is a Python library for building quantum circuits with a developer-first approach. No quantum physics PhD required.
- 🎯 **Simple API** - Intuitive, Pythonic interface
- ⚡ **Fast** - Optimized quantum circuit simulation
- 📚 **Well Documented** - Clear examples and tutorials
- 🔧 **Extensible** - Easy to add custom gates
- 🌐 **Open Source** - MIT licensed
Perfect for learning, prototyping, and algorithm development.
---
## ✨ Features
### Comprehensive Gate Library
**Single-qubit gates:**
- Pauli gates: `x()`, `y()`, `z()`
- Hadamard: `h()`
- Rotations: `rx()`, `ry()`, `rz()`
**Two-qubit gates:**
- `cx()` - CNOT (controlled-NOT)
- `cz()` - Controlled-Z
- More coming soon!
### Method Chaining
```python
qc = QuantumCircuit(3)
qc.h(0).h(1).h(2).cx(0, 1).cx(1, 2).measure_all()
```
### Circuit Information
```python
print(qc)
# Output: QuantumCircuit(3 qubits, 6 gates)
```
---
## 📖 Examples
### Bell State
```python
from quantiq import QuantumCircuit
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc.measure_all()
result = qc.run(shots=1000)
# Perfect correlation: ~50% |00⟩ and ~50% |11⟩
```
### GHZ State (3-qubit Entanglement)
```python
from quantiq import QuantumCircuit
qc = QuantumCircuit(3)
qc.h(0)
qc.cx(0, 1)
qc.cx(1, 2)
qc.measure_all()
result = qc.run(shots=1000)
# Result: ~50% |000⟩ and ~50% |111⟩
```
### Superposition
```python
from quantiq import QuantumCircuit
qc = QuantumCircuit(1)
qc.h(0) # Create superposition
qc.measure_all()
result = qc.run(shots=1000)
# Result: ~50% |0⟩ and ~50% |1⟩
```
**📁 More examples:** [examples/](./examples)
---
## 🛠️ Installation
### Requirements
- Python 3.11 or higher
- NumPy
### Install from PyPI
```bash
pip install quantiq-dev
```
### Install from Source
```bash
git clone https://github.com/tony-siqurity-ai/quantiq-web.git
cd quantiq-web
pip install -e .
```
---
## 📚 Documentation
Full documentation is available at [docs.quantiq.dev](https://quantiq.dev/docs)
- [Getting Started](https://quantiq.dev/docs)
- [API Reference](https://quantiq.dev/docs)
- [Examples](./examples)
---
## 🗺️ Roadmap
### ✅ v1.0 (Current)
- [x] Core quantum gates (H, X, Y, Z, CX)
- [x] Basic statevector simulation
- [x] Method chaining API
- [x] PyPI package
### 🚧 v1.1 (Next)
- [ ] Circuit visualization
- [ ] More quantum gates (CZ, SWAP, Toffoli)
- [ ] Result analysis tools
- [ ] Performance optimizations
### 🔮 Future
- [ ] Advanced quantum algorithms
- [ ] Noise simulation
- [ ] GPU-accelerated simulation
- [ ] Cloud API
**See our [full roadmap](https://github.com/tony-siqurity-ai/quantiq-web/issues) →**
---
## 🤝 Contributing
Contributions are welcome! Here's how you can help:
- 🐛 Report bugs by [opening an issue](https://github.com/tony-siqurity-ai/quantiq-web/issues)
- ✨ Suggest features in [discussions](https://github.com/tony-siqurity-ai/quantiq-web/discussions)
- 📝 Improve documentation
- 🔧 Submit pull requests
See [CONTRIBUTING.md](./CONTRIBUTING.md) for guidelines.
### Development Setup
```bash
# Clone the repository
git clone https://github.com/tony-siqurity-ai/quantiq-web.git
cd quantiq-web
# Install in development mode
pip install -e .
# Run tests (if you have them)
python -m pytest tests/
```
---
## 📄 License
quantIQ is released under the [MIT License](./LICENSE).
---
## 🙏 Acknowledgments
Built for the quantum computing community.
Special thanks to early adopters and contributors!
---
## 🗺️ Roadmap
See our [public roadmap](https://github.com/users/tony-siqurity-ai/projects/1) for upcoming features and Cloud API development.
Want to influence what we build? [Open a discussion](https://github.com/tony-siqurity-ai/quantiq-web/discussions)!
---
<div align="center">
**⭐ Star us on GitHub if you find quantIQ useful!**
Made with ⚛️ by the quantIQ team
[Get Started](https://quantiq.dev/docs) • [GitHub](https://github.com/tony-siqurity-ai/quantiq-web) • [PyPI](https://pypi.org/project/quantiq/)
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No quantum physics PhD required.\r\n\r\n- \ud83c\udfaf **Simple API** - Intuitive, Pythonic interface\r\n- \u26a1 **Fast** - Optimized quantum circuit simulation\r\n- \ud83d\udcda **Well Documented** - Clear examples and tutorials\r\n- \ud83d\udd27 **Extensible** - Easy to add custom gates\r\n- \ud83c\udf10 **Open Source** - MIT licensed\r\n\r\nPerfect for learning, prototyping, and algorithm development.\r\n\r\n---\r\n\r\n## \u2728 Features\r\n\r\n### Comprehensive Gate Library\r\n\r\n**Single-qubit gates:**\r\n- Pauli gates: `x()`, `y()`, `z()`\r\n- Hadamard: `h()`\r\n- Rotations: `rx()`, `ry()`, `rz()`\r\n\r\n**Two-qubit gates:**\r\n- `cx()` - CNOT (controlled-NOT)\r\n- `cz()` - Controlled-Z\r\n- More coming soon!\r\n\r\n### Method Chaining\r\n\r\n```python\r\nqc = QuantumCircuit(3)\r\nqc.h(0).h(1).h(2).cx(0, 1).cx(1, 2).measure_all()\r\n```\r\n\r\n### Circuit Information\r\n\r\n```python\r\nprint(qc)\r\n# Output: QuantumCircuit(3 qubits, 6 gates)\r\n```\r\n\r\n---\r\n\r\n## \ud83d\udcd6 Examples\r\n\r\n### Bell State\r\n\r\n```python\r\nfrom quantiq import QuantumCircuit\r\n\r\nqc = QuantumCircuit(2)\r\nqc.h(0)\r\nqc.cx(0, 1)\r\nqc.measure_all()\r\n\r\nresult = qc.run(shots=1000)\r\n# Perfect correlation: ~50% |00\u27e9 and ~50% |11\u27e9\r\n```\r\n\r\n### GHZ State (3-qubit Entanglement)\r\n\r\n```python\r\nfrom quantiq import QuantumCircuit\r\n\r\nqc = QuantumCircuit(3)\r\nqc.h(0)\r\nqc.cx(0, 1)\r\nqc.cx(1, 2)\r\nqc.measure_all()\r\n\r\nresult = qc.run(shots=1000)\r\n# Result: ~50% |000\u27e9 and ~50% |111\u27e9\r\n```\r\n\r\n### Superposition\r\n\r\n```python\r\nfrom quantiq import QuantumCircuit\r\n\r\nqc = QuantumCircuit(1)\r\nqc.h(0) # Create superposition\r\nqc.measure_all()\r\n\r\nresult = qc.run(shots=1000)\r\n# Result: ~50% |0\u27e9 and ~50% |1\u27e9\r\n```\r\n\r\n**\ud83d\udcc1 More examples:** [examples/](./examples)\r\n\r\n---\r\n\r\n## \ud83d\udee0\ufe0f Installation\r\n\r\n### Requirements\r\n\r\n- Python 3.11 or higher\r\n- NumPy\r\n\r\n### Install from PyPI\r\n\r\n```bash\r\npip install quantiq-dev\r\n```\r\n\r\n### Install from Source\r\n\r\n```bash\r\ngit clone https://github.com/tony-siqurity-ai/quantiq-web.git\r\ncd quantiq-web\r\npip install -e .\r\n```\r\n\r\n---\r\n\r\n## \ud83d\udcda Documentation\r\n\r\nFull documentation is available at [docs.quantiq.dev](https://quantiq.dev/docs)\r\n\r\n- [Getting Started](https://quantiq.dev/docs)\r\n- [API Reference](https://quantiq.dev/docs)\r\n- [Examples](./examples)\r\n\r\n---\r\n\r\n## \ud83d\uddfa\ufe0f Roadmap\r\n\r\n### \u2705 v1.0 (Current)\r\n- [x] Core quantum gates (H, X, Y, Z, CX)\r\n- [x] Basic statevector simulation\r\n- [x] Method chaining API\r\n- [x] PyPI package\r\n\r\n### \ud83d\udea7 v1.1 (Next)\r\n- [ ] Circuit visualization\r\n- [ ] More quantum gates (CZ, SWAP, Toffoli)\r\n- [ ] Result analysis tools\r\n- [ ] Performance optimizations\r\n\r\n### \ud83d\udd2e Future\r\n- [ ] Advanced quantum algorithms\r\n- [ ] Noise simulation\r\n- [ ] GPU-accelerated simulation\r\n- [ ] Cloud API\r\n\r\n**See our [full roadmap](https://github.com/tony-siqurity-ai/quantiq-web/issues) \u2192**\r\n\r\n---\r\n\r\n## \ud83e\udd1d Contributing\r\n\r\nContributions are welcome! 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