This release is a pre-release and may not be stable for production use.
Divi
Generate, parallelize, and execute quantum programs at scale.
Divi is a Python library by Qoro Quantum for building and running quantum programs at scale. It handles circuit generation, job parallelization, and cloud execution — with built-in support for variational algorithms, custom workflows, and more — so you can focus on the quantum problem, not the plumbing.
[!IMPORTANT] Divi is under active development. Expect breaking changes between minor versions.
⚡ Quick Start
pip install qoro-divi
Nightly Builds
To install the latest development build (published daily from main):
pip install qoro-divi --pre
Run a VQE energy minimization in a few lines:
import numpy as np
import pennylane as qp
from divi.qprog import VQE, HartreeFockAnsatz
from divi.backends import MaestroSimulator
from divi.qprog.optimizers import ScipyOptimizer, ScipyMethod
# Define an H₂ molecule
molecule = qp.qchem.Molecule(
symbols=["H", "H"],
coordinates=np.array([(0, 0, 0), (0, 0, 0.5)]),
)
vqe = VQE(
molecule=molecule,
ansatz=HartreeFockAnsatz(),
n_layers=2,
backend=MaestroSimulator(shots=5000),
optimizer=ScipyOptimizer(method=ScipyMethod.COBYLA),
seed=42,
)
vqe.run()
print(f"Ground state energy: {vqe.best_loss:.6f}")
🌐 Cloud Execution with Qoro Service
Run the same programs on Qoro's cloud platform with tensor-network simulators — no code changes needed:
from divi.backends import QoroService
service = QoroService() # reads QORO_API_KEY from .env or environment
vqe = VQE(molecule=molecule, backend=service)
vqe.run()
Get started for free → Sign up at dash.qoroquantum.net and receive $100 worth of credits to run your first quantum programs on our cloud.
🤖 divi-ai: AI Coding Assistant
Ask questions about Divi directly in your terminal — no API keys, no internet required after setup.
pip install qoro-divi[ai]
divi-ai
Answers questions about Divi APIs, generates code examples, and explains concepts — powered by a local LLM that runs entirely on your machine. See the full documentation for model options and usage.
🧩 Key Features
| Feature | Description |
|---|---|
| VQE & QAOA | Built-in variational algorithms with pluggable ansätze and optimizers |
| Circuit Pipelines | Expand → execute → reduce pattern for complex circuit workflows |
| Program Ensembles | Parallel execution of multiple quantum programs with automatic scheduling |
| Flexible Backends | MaestroSimulator for fast local dev, QiskitSimulator for noisy simulation, QoroService for cloud execution |
| Execution Config | Control bond dimension, simulator type, and simulation method per job |
| Live Reporting | Real-time dashboards and convergence tracking via callbacks |
🏗️ Architecture
divi/
├── qprog/ # Quantum programs: VQE, QAOA, base classes, optimizers
├── backends/ # Execution backends: MaestroSimulator, QiskitSimulator, QoroService
├── circuits/ # MetaCircuit templates and Circuit instances
├── pipeline/ # Circuit pipeline stages (expand, execute, reduce)
├── hamiltonians # Molecular Hamiltonian generation
├── reporting/ # Live reporting and visualization callbacks
└── ai/ # Offline documentation chatbot (divi-ai)
📚 Documentation
Full documentation, user guides, and API reference: divi.readthedocs.io
Hands-on examples are in the tutorials/ folder.
� Contributing
Contributions are welcome! See CONTRIBUTING.md for development setup, testing, and code style guidelines.
📄 License
Apache 2.0 — see LICENSE for details.
2 maintainers
Metadata
2 maintainers
Release files for qoro-divi 0.12.0.dev20260501
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