moons-quantum 0.1.0

Python SDK for Moons Quantum — AI-powered quantum circuit optimization and routing

moons-quantum

Python SDK for Moons Quantum — AI-powered quantum circuit optimization and routing.

Optimize your quantum circuits before they hit real hardware. Reduce SWAP overhead, skip the queue, and cut cloud compute costs.

Installation

pip install moons-quantum

Quick Start

import moons_quantum as moons

# Set your API key (get one free at moonsquantum.com)
moons.api_key = "mqc_your_key_here"

# Optimize a circuit
result = moons.optimize(qubits=4, topology="grid", generations=10)

print(result.status)              # "completed"
print(result.best_circuit_qasm)   # OPENQASM 2.0; ...
print(result.fidelity)            # 98.5 (percentage)
print(result.depth)               # 12

Route API

The high-level route() function picks the best optimization strategy automatically:

result = moons.route(budget=50, topology="linear", qubits=6)
print(result.best_circuit_qasm)

Check Job Status

For async workflows, submit without waiting and check later:

result = moons.optimize(qubits=8, wait=False)
print(result.job_id)  # "a1b2c3d4-..."

# Check later
status = moons.get_job(result.job_id)
print(status.is_complete)

Topology Options

Topology	Description	Use Case
"all"	All-to-all connectivity	Ideal / trapped-ion
"linear"	Linear chain	Basic NISQ devices
"ring"	Ring connectivity	Neutral atom arrays
"grid"	2D grid / square lattice	IBM superconducting QPUs

API Health Check

print(moons.health())
# {"status": "healthy"}

Configuration

import moons_quantum as moons

moons.api_key = "mqc_..."                          # Your API key
moons.api_url = "https://custom-server.com"        # Custom server URL (optional)

Links

• Website: moonsquantum.com
• GitHub: github.com/DEBURGEMEESTER/Moons-Quantum-Corp.
• Issues: Report a bug

License

MIT