Pre-release

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.

[!TIP] Using Claude Code, Cursor, or another LLM coding agent? Divi is indexed on Context7 — point your agent at /qoroquantum/divi to pull current, version-specific Divi docs and snippets directly into its context.

⚡ 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}")

Hamiltonians and circuits accept either Qiskit (SparsePauliOp, QuantumCircuit) or PennyLane (QuantumScript, operators) inputs interchangeably.

🌐 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.

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