Amsterdam · Netherlands
Connect cloud, Kubernetes and HPC with quantum computing platforms.
Mathnetica designs the architecture and infrastructure required to run hybrid CPU, GPU and QPU workloads — without treating quantum as an isolated experiment.
The thesis
Quantum computing does not replace your infrastructure. It has to integrate with it. Organizations already operate cloud, Kubernetes, HPC, CPU/GPU workloads, identity, security and observability.
Access to a QPU is only one part of the problem. Mathnetica focuses on the infrastructure layer: where workloads execute, how classical and quantum stages communicate, how providers are selected, and how security and sovereignty requirements are maintained.
CPU · GPU · HPC
↓
Hybrid workload
↓
Simulator · QPUWhat we are building
Existing infrastructure is the foundation. Quantum becomes another compute resource. Mathnetica works on the layer connecting applications, cloud, Kubernetes, HPC and QPUs.
01
Design infrastructure connecting enterprise systems with quantum computing platforms — cloud-to-QPU and Kubernetes/HPC integration, secure connectivity, provider access, identity and workload execution architecture.
02
Design systems where CPU, GPU, HPC, simulators and QPUs work together — hybrid workflows, scheduling, orchestration, asynchronous jobs and classical pre-/post-processing.
03
Help organizations determine how quantum fits into their landscape — current and target architecture, provider evaluation, security boundaries, data flows, placement and an implementation roadmap.
The platform
Mathnetica is building a quantum-aware control layer for modern computing infrastructure. We are exploring hybrid workflow orchestration, workload placement, infrastructure automation, policy and sovereignty, observability and cost awareness — extending proven cloud-native and HPC technologies where they already exist. Status: Experimental.
Applications
│
▼
Cloud / Kubernetes / HPC
│
▼
Mathnetica Infrastructure
│
┌─────────┼─────────┐
▼ ▼ ▼
CPU GPU QPU
│
┌─────────┼─────────┐
▼ ▼ ▼
IBM PASQAL EuroHPC
(examples / roadmap)Research directions
Hybrid workflow orchestration
Controlled workflows across classical and quantum stages — with policy and approval where required.
Workload placement
Choosing CPU, GPU, HPC, simulator or QPU for each stage.
Infrastructure automation
Provisioning and releasing resources as part of the workload lifecycle — when needed.
Policy and sovereignty
Portable, observable and sovereignty-aware decisions — region, data location, approved providers and organizational policy, including European constraints where they apply.
Observability
Workflow-first visibility, cost signals and execution provenance across classical and quantum stages.
Provider neutrality
Work with simulators and QPU backends such as IBM Quantum, PASQAL or EuroHPC without unnecessarily coupling architecture to one vendor.
Existing infrastructure is the foundation. Quantum becomes another compute resource. Portable. Observable. Sovereign.
Who it's for
Understand how quantum computing could fit into an existing technology stack.
Integrate QPUs with Kubernetes, HPC and classical compute without a parallel stack.
Run reproducible hybrid quantum–classical experiments on real infrastructure.
Evaluate portable, observable and sovereignty-aware quantum infrastructure paths.
Open source
Infrastructure and control software for hybrid quantum-classical computing. Status: Experimental.
Capabilities described on this site are research and early engineering directions. Provider examples (e.g. IBM Quantum, PASQAL, EuroHPC) are illustrative — not claims of production integrations or partnerships.
QBridge — QBridge is experimental open-source orchestration for hybrid quantum workloads. It explores treating quantum execution as an infrastructure workload — portable definitions, provider abstraction and lifecycle — rather than isolated notebook experiments. Proof that Mathnetica experiments with building infrastructure, not only talking about it.
Research → open source → real-world engineering → reusable technology → Mathnetica Platform.
Engineering Research
We explore the infrastructure required to run quantum workloads alongside existing cloud, Kubernetes and HPC environments. Research feeds the platform and commercial engagements.
Workloads
Published
7 Oct 2026
Mathnetica Tools for CUDA-Q is an independent Preview extension that helps developers run CUDA-Q programs, inspect environments, select targets and work with notebooks — without leaving VS Code or Cursor.
Read moreWorkloads
In progress
What changes when quantum execution becomes part of a cloud-native workload — without making Kubernetes Mathnetica's identity.
Read moreResources
Planned
CPU and GPU abstractions do not map directly to quantum processors. What information should infrastructure understand about a QPU?
Research topicWork with us
Mathnetica is a commercial engineering company under Quantum Infrastructure Engineering. Hire us to assess how quantum fits your cloud, Kubernetes and HPC environment — then optionally build a hybrid PoC. Open source and research feed the Mathnetica Platform.
Understand how quantum computing integrates with your existing infrastructure — then design controlled hybrid CPU / GPU / QPU paths without locking into a single provider.
Portable. Observable. Sovereign.
Understand how quantum computing can fit into your existing cloud, Kubernetes and HPC infrastructure — a technical architecture assessment, not a strategy workshop.
Hybrid Quantum Architecture & PoC — from €7,500
The next step after an Infrastructure Review — design and implement a focused hybrid path across classical infrastructure and a simulator or QPU backend.
Flagship direction
Controlled infrastructure workflows for hybrid quantum-classical computing — policy, human approval, provisioning and execution across CPU, GPU, HPC, simulators and QPUs.
Start with a Hybrid Quantum Infrastructure Review and understand where quantum computing fits into your existing technology stack — then decide whether a focused PoC makes sense.