Documentation
Olewin Studio Docs
Everything you need to build quantum applications — from first circuit to production deployment.
InstallationVQEQAOAError CorrectionBackends
Getting Started
Installation
Olewin Studio supports Windows 10+, macOS 12+, and Ubuntu 20.04+. It requires a minimum of 8GB RAM and 4GB disk space for the base installation with simulator support.
System Requirements
OSWindows 10/11, macOS 12+, Ubuntu 20.04+
RAM8 GB minimum, 16 GB recommended
CPU4-core x86-64 or ARM64
Python3.10, 3.11, or 3.12
Install via pip
# Create a virtual environment (recommended) python -m venv quantum-env source quantum-env/bin/activate # On Windows: quantum-env\Scripts\activate # Install Olewin Studio core pip install olewin-studio # Install domain-specific toolkits pip install olewin-studio[chemistry] # Molecular simulation pip install olewin-studio[medical] # Drug discovery & genomics pip install olewin-studio[energy] # Grid & materials optimization pip install olewin-studio[finance] # Quantitative finance pip install olewin-studio[all] # Install everything
Launch the IDE
# Launch the desktop IDE olewin # Or start a Jupyter-based notebook interface olewin notebook # Connect to a quantum backend olewin config --backend ibm --token YOUR_IBM_TOKEN
Verify Installation
from olewin import QuantumCircuit, Simulator
# Create a Bell state (entangled pair)
qc = QuantumCircuit(2)
qc.h(0) # Hadamard gate on qubit 0
qc.cx(0, 1) # CNOT gate (entanglement)
qc.measure_all()
# Simulate
sim = Simulator()
result = sim.run(qc, shots=1024)
print(result.counts)
# Output: {'00': 512, '11': 512}Quick Start Guide
Once installed, here's the fastest path to running your first quantum computation on real hardware.
- Open Olewin Studio desktop application or run
olewinin terminal - Navigate to File → New Quantum Project and choose your domain (Science, Medical, Energy, etc.)
- Use the built-in circuit designer or write Qiskit/Cirq/Q# code directly
- Connect to a simulator for testing or configure a real backend under Settings → Backends
- Run your circuit and explore results in the built-in visualization dashboard