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Resources
For Developers & Data Scientists
Ship quantum solvers like any other software
Build from Git, prepare your data, and run on any quantum, GPU or classical backend through one API.
Developers & Data ScientistsSolver developers, data scientists, ML engineers
Innovation & Technology leadersCTO, CIO, Head of Innovation, quantum programme lead
Business leadersBU heads, COO, strategy: the people who own the problem
Researchers & ScientistsQuantum algorithm and operations research scientists
Developers & Data ScientistsSolver developers, data scientists, ML engineers
IT & DevOpsIT architecture, security, platform and DevOps teams
QCentroid lets developers and data scientists build quantum and hybrid solvers the way they build any other software.
On the QCentroid QuantumOps platform, they connect a Git repository, prepare real or synthetic data, prototype on GPUs with CUDA-Q and run the same code on quantum hardware, simulators or classical compute through one API. No vendor-specific plumbing.
- One SDK per vendorOne API for every backend
- Notebook code in productionValidated, versioned solvers
- Waiting for dataSynthetic and connected data from day one
What can Developers & Data Scientists do with QCentroid?
Build from your own code
Connect a repository and the platform validates, builds and versions your solver.
- Repository-Connected Solvers: build straight from Git
- Solver Templates & Runtime: start from a provider template
- Build-Time Code Validation: errors caught before the run
Work with real data from day one
Connect enterprise sources or generate synthetic data, with one schema shared between data and solvers.
- Enterprise Data Connectors: warehouses and lakes via Trino
- Synthetic Data Generator: realistic test data from an example
- Automatic Schema Generation: the format inferred for you
Run anywhere, change nothing
Switch between simulators, GPUs and QPUs without rewriting your solver.
- Multi-Provider Quantum Hardware Access: one integration, many QPUs
- GPU-Accelerated Execution: NVIDIA GPUs with CUDA-Q
- Cloud Jupyter Workspace: prototype with nothing to install
Works with your team
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Researchers & Scientists
They prototype the method; you turn it into a solver that runs anywhere.
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IT & DevOps
They connect identity and provider credentials; you build without waiting on access tickets.
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Innovation & Technology leaders
They choose what to scale; you make it run in production.
Resources for you
Developers & Data Scientists
Your code, any backend, no plumbing
Read the docs and run your first job.