An SDK (Software Development Kit) is basically a starter toolbox for developers. Instead of reinventing the wheel, an SDK gives you the parts you need so you can focus on building your application.
For Qoro’s Divi SDK, think of it like this: instead of researchers writing complex infrastructure code to manage circuits, simulators, and quantum backends, Divi gives them ready-made building blocks that let them get straight to solving problems.
Quantum computing doesn’t just need better hardware — it needs a better software ecosystem.
Today, researchers and developers face a bottleneck: software complexity. Building circuits, running optimizations, managing distributed execution, aggregating results, and mitigating errors all require different tools, each with its own interface. The result? Slow, fragmented workflows that hold back progress.
At Qoro, we believe that if quantum is going to matter, it has to run like real infrastructure — not a lab demo. That’s why we’re launching Divi, our open-source Python SDK that makes distributed quantum-classical workflows a first-class problem.
What Divi Does
Divi simplifies the entire pipeline:
- Code once, distribute anywhere – Seamlessly deploy to multiple quantum backends and classical simulators, with no vendor lock-in.
- Automated optimizations and partitioning – Let Divi handle program structure and backend selection intelligently.
- Parallelized execution at scale – Run large workloads and batch jobs without infrastructure overhead.
- Streamlined interface – Focus on algorithms, not orchestration.
In short: Divi takes away the infrastructure headaches so you can concentrate on advancing your research and applications.
Why Open-Source matters for HPC
Quantum software won’t scale unless it’s open, extensible, and community-driven. Divi is available for everyone to use, extend, and contribute to. Whether you’re developing algorithms, testing new quantum-classical hybrids, or benchmarking hardware, Divi is built to accelerate your work.
The HPC community has a long tradition of adopting and extending open-source codes — from molecular dynamics (LAMMPS, GROMACS) to computational fluid dynamics (OpenFOAM) and beyond. Open-source is often the first step before commercialisation because it allows HPC centres to:
- Experiment immediately without waiting for procurement cycles.
- Access advanced functionality today that would be too expensive to develop from scratch.
- Reduce internal maintenance costs by collaborating on a shared codebase.
- Avoid vendor lock-in and retain flexibility across different architectures.
Divi follows that same model. By being open-source, it gives HPC teams the ability to trial distributed quantum-classical workflows now, see where quantum can slot into their stack, and avoid sinking time and money into in-house orchestration software that will need constant upkeep.
This isn’t a throwaway prototype. Divi is designed as part of Qoro’s long-term network operating system for quantum computing. Starting open-source gives the community a production-ready SDK while building momentum toward larger-scale distributed quantum deployments.
Proof at Scale
In real-world HPC demonstrations, Divi has orchestrated large QAOA Max-Cut problems across distributed infrastructure — matching classical state-of-the-art methods like Goemans-Williamson. This proves that distributed quantum-classical orchestration can unlock scaling that single machines simply cannot.
Who It’s For
Divi is built for:
- Researchers who need reproducible, scalable workflows.
- Application developers who want to integrate quantum backends without vendor lock-in.
- HPC users who want quantum software to behave like the open codes they already use.
Get Started
Divi is available today. Download it from PyPi, contribute to it in Github, and help us build the ecosystem quantum computing needs.
Launching Divi as open source means HPC users can start experimenting today. But for organisations that want to test hybrid HPC–quantum workflows in a structured way, Qoro also offers a three-month Pilot Programme.
The pilot is designed to remove operational risk from your quantum strategy. It integrates directly with your existing scheduler and emulates full deployment, so your team experiences what large-scale hybrid workflows will feel like in production. At the end, you’re left with an open-source, extensible environment you can continue to use, adapt, and expand.
What’s included?
- Divi – the Python-based hybrid toolkit your team already understands, built for parallelized quantum–classical optimisation.
- Maestro – our high-performance emulator for CPUs and GPUs, tuned for flexibility and automation.
- Custom integration – aligned to your HPC stack, reflecting how hybrid systems will actually operate.
The result: you gain hands-on experience, internal integration know-how, and credibility to guide adoption—all without waiting for hardware maturity. If you already have quantum processors in place, the pilot lets you orchestrate and automate them with Divi. If you don’t, Maestro ensures you can still run realistic workloads and prepare for the moment hardware is ready.
This is the fastest path to understanding what distributed quantum computing can do for your centre—on your terms, and without vendor lock-in.
