cirquit 1.0.1

Quantum circuits, simplified. A developer-first quantum computing platform.

Cirquit

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Quantum circuits, simplified

Website • Documentation • Examples • Discord

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What is Cirquit?

Cirquit is a quantum computing platform that makes building and running quantum circuits as simple as calling an API. No quantum physics PhD required.

• 🚀 Developer-first: Simple Python SDK with intuitive API
• ⚡ Fast: Run quantum circuits in seconds, not hours
• 🌐 Universal: Works with multiple quantum backends (simulators & real hardware)
• 💰 Affordable: Pay only for what you use
• 🔓 Open: Not locked into any single quantum vendor

Think AWS Lambda for quantum computing.

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Quick Start

Installation

pip install cirquit

Your First Quantum Circuit

from cirquit import QuantumCircuit

# Create a Bell state (quantum entanglement)
circuit = QuantumCircuit(2)
circuit.h(0)           # Apply Hadamard gate to qubit 0
circuit.cnot(0, 1)     # Apply CNOT gate
circuit.measure_all()  # Measure all qubits

# Run the circuit
result = circuit.run(shots=1000)
print(result.counts)
# Output: {'00': 503, '11': 497}

That's it! You just created quantum entanglement.

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Features

🎯 Simple & Intuitive API

from cirquit import QuantumCircuit

circuit = QuantumCircuit(3)
circuit.h(0).h(1).h(2)                    # Hadamard on all qubits
circuit.cnot(0, 1).cnot(1, 2)             # Create entanglement
circuit.rx(0, 1.5708).ry(1, 0.7854)       # Rotations
circuit.measure_all()

result = circuit.run(shots=2048, backend="simulator")

🔧 Comprehensive Gate Library

Single-qubit gates:

• Pauli gates: X, Y, Z
• Hadamard: H
• Phase gates: S, T
• Rotations: RX, RY, RZ

Two-qubit gates:

• CNOT (controlled-NOT)
• CZ (controlled-Z)
• SWAP

Coming soon: Toffoli, Fredkin, custom gates

📊 Rich Result Analysis

result = circuit.run(shots=1000)

# Get measurement counts
print(result.counts)
# {'000': 127, '111': 125, '001': 124, ...}

# Get probabilities
print(result.probabilities())
# {'000': 0.127, '111': 0.125, ...}

# Most common outcomes
print(result.most_common(3))
# [('000', 127), ('111', 125), ('001', 124)]

# Execution metadata
print(f"Runtime: {result.execution_time:.3f}s")

🎨 Circuit Visualization

circuit = QuantumCircuit(3)
circuit.h(0).cnot(0, 1).cnot(1, 2)
print(circuit.draw())

Output:

q0: ─[H]─●───
          │
q1: ──────⊕─●─
            │
q2: ────────⊕─

☁️ Cloud Execution (Coming Soon)

import cirquit

# Authenticate with Cirquit Cloud
cirquit.login(api_key="your_api_key")

# Run on real quantum hardware
circuit = QuantumCircuit(5)
# ... build circuit ...

result = circuit.run(
    shots=4096,
    backend="ibm_nairobi",  # Real quantum computer!
    priority="high"
)

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Examples

Bell State (Quantum Entanglement)

from cirquit import QuantumCircuit

circuit = QuantumCircuit(2, name="bell_state")
circuit.h(0)
circuit.cnot(0, 1)
circuit.measure_all()

result = circuit.run(shots=1000)
# Perfect correlation: only |00⟩ and |11⟩ states

GHZ State (3-qubit Entanglement)

from cirquit import QuantumCircuit

circuit = QuantumCircuit(3, name="ghz_state")
circuit.h(0)
for i in range(2):
    circuit.cnot(i, i + 1)
circuit.measure_all()

result = circuit.run(shots=1000)
# Result: ~50% |000⟩ and ~50% |111⟩

Quantum Teleportation

from cirquit import quantum_teleportation

circuit = quantum_teleportation()
print(circuit.draw())
result = circuit.run(shots=1024)

Parameterized Circuits (VQE, QAOA)

import numpy as np
from cirquit import QuantumCircuit

def ansatz(params):
    circuit = QuantumCircuit(2)
    circuit.rx(0, params[0])
    circuit.ry(1, params[1])
    circuit.cnot(0, 1)
    circuit.rz(1, params[2])
    return circuit

# Optimize parameters (classical)
params = np.random.rand(3) * 2 * np.pi
circuit = ansatz(params)
result = circuit.run(shots=1000)

📁 More examples: examples/

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Architecture

Cirquit is built with modularity and scalability in mind:

┌─────────────────────────────────────────────┐
│           Python SDK (cirquit)              │
│  QuantumCircuit | Gates | Visualization     │
└─────────────────────────────────────────────┘
                      │
┌─────────────────────┼─────────────────────┐
│                     ▼                     │
│         Execution Engine                  │
│  ┌─────────┐  ┌──────────┐  ┌──────────┐ │
│  │Simulator│  │ IBM  Q   │  │ Rigetti  │ │
│  └─────────┘  └──────────┘  └──────────┘ │
└───────────────────────────────────────────┘
                      │
                      ▼
        ┌──────────────────────────┐
        │   Cirquit Cloud (API)    │
        │  Job Queue | Storage      │
        └──────────────────────────┘

Components

• SDK: Python library for circuit construction
• Simulator: Efficient statevector simulation (up to 25 qubits)
• Cloud API: REST API for job submission and management
• Backends: Support for multiple quantum hardware providers

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Documentation

📚 Full documentation: docs.cirquit.io

• Getting Started Guide
• API Reference
• Tutorials
• Algorithm Library
• Best Practices

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Roadmap

✅ Phase 1: MVP (Current)

• Core SDK with essential gates
• Statevector simulator
• Circuit visualization
• Result analysis tools
• Example circuits

🚧 Phase 2: Cloud Platform (Q2 2025)

• REST API for job submission
• Web dashboard
• User authentication
• Usage tracking & billing
• Real-time job monitoring

🔮 Phase 3: Hardware Integration (Q3 2025)

• IBM Quantum backend
• Rigetti backend
• IonQ backend
• Circuit transpilation
• Hardware-optimized compilation

🌟 Phase 4: Advanced Features (Q4 2025)

• Hybrid quantum-classical workflows
• ML framework integration (PyTorch, TensorFlow)
• Algorithm marketplace
• Noise simulation
• Error mitigation
• GPU-accelerated simulation

See our full roadmap →

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Performance

Cirquit simulator performance on Apple M1 Max:

Qubits	Gates	Time	Memory
10	100	0.05s	32 MB
15	150	0.8s	1 GB
20	200	12s	32 GB
25	250	180s	1024 GB

Results may vary based on circuit complexity and hardware

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Contributing

We ❤️ contributions! Cirquit is open-source and community-driven.

Ways to Contribute

• 🐛 Report bugs: Open an issue
• ✨ Suggest features: Start a discussion
• 📝 Improve docs: Submit a PR
• 🔧 Add features: See CONTRIBUTING.md
• 💬 Help others: Join our Discord

Development Setup

# Clone the repository
git clone https://github.com/cirquit/cirquit.git
cd cirquit

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest tests/ -v

# Format code
black cirquit/

Code Style

We use:

• Black for code formatting
• isort for import sorting
• mypy for type checking
• pytest for testing

# Run all checks
make lint
make test

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Community

Join our growing community of quantum developers:

• 💬 Discord: discord.gg/cirquit
• 🐦 Twitter: @cirquit_io
• 📧 Email: [e-mail]
• 📰 Blog: blog.cirquit.io

Weekly Office Hours: Thursdays at 3pm PT on Discord

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FAQ

Is Cirquit free?

Yes! The SDK is open-source and free forever. Cloud platform pricing:

• Free tier: 10,000 shots/month
• Researcher: $49/month (100K shots)
• Enterprise: Custom pricing

How is Cirquit different from Qiskit or Cirq?

Cirquit is designed for simplicity and cloud-native execution:

• Simpler API: Less boilerplate, more intuitive
• Cloud-first: Built for API-driven workflows
• Vendor-neutral: Works with any quantum backend
• Developer UX: Optimized for modern development workflows

Can I use Cirquit for research?

Absolutely! Cirquit is perfect for:

• 🎓 Quantum computing education
• 🔬 Research prototyping
• 📊 Algorithm development
• 💡 Proof-of-concept projects

Academic licenses available upon request.

Does Cirquit work with real quantum computers?

Not yet, but coming Q3 2025! We're partnering with:

• IBM Quantum
• Rigetti Computing
• IonQ

For now, our high-performance simulator is perfect for algorithm development.

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Citation

If you use Cirquit in your research, please cite:

@software{cirquit2025,
  title = {Cirquit: Quantum Computing Platform},
  author = {Cirquit Team},
  year = {2025},
  url = {https://github.com/cirquit/cirquit},
  version = {1.0.0}
}

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License

Cirquit is released under the MIT License.

MIT License

Copyright (c) 2025 Cirquit

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction...

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Acknowledgments

Built with ❤️ by the Cirquit team.

Special thanks to:

• The quantum computing research community
• Open-source contributors
• Early beta testers
• Our Discord community

Inspired by the vision of making quantum computing accessible to everyone.

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⭐ Star us on GitHub • 🐦 Follow on Twitter • 💬 Join Discord

Made with ⚛️ by Cirquit

Get Started • API Docs • Examples

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