Experimental
Mathnetica Platform
Infrastructure and control software for hybrid quantum-classical computing.
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.
Capabilities described on this site are research and early engineering directions. Do not assume providers, schedulers or automation are production-ready unless listed as implemented.
Control plane.
Mathnetica sits above infrastructure technologies. Kubernetes, HPC and provider SDKs are foundations — not the product.
QPU Resources
We are researching how infrastructure should discover, represent and allocate quantum processors alongside classical compute.
Workloads
We are exploring routing and lifecycle across CPU, GPU, HPC, simulator and QPU stages — without treating quantum as an isolated experiment.
Operations
We are investigating telemetry, provenance, cost signals and policy decisions across the quantum–classical boundary.
Research directions.
Areas we are exploring and building — not a claim of finished production features.
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
Respecting region, data location, approved providers, budget and organizational policy — including European data residency and cloud sovereignty constraints where they apply.
Observability
Workflow-first visibility, cost signals and execution provenance across classical and quantum stages.
Cost awareness
Estimating and comparing cost and turnaround as part of placement — not a separate FinOps product.
Architecture.
MATHNETICA
Quantum Control Plane
│
┌─────────────┼─────────────┐
│ │ │
QPU Resources Workloads Operations
│ │ │
Discovery Routing Telemetry
Allocation Lifecycle Provenance
│ │ │
└─────────────┼─────────────┘
│
───── Existing Infrastructure ─────
Kubernetes / Argo / Kueue / HPC
│
CPU / GPU / HPC / Simulator / QPU
│
Provider integrations (roadmap)Existing stack is the foundation. Our code is the layer that makes infrastructure understand hybrid quantum-classical workloads. Kubernetes is an initial laboratory — not our identity. The same control ideas should remain meaningful on HPC and other environments.
Hybrid workload.
One workload. Multiple classes of compute.
DATA ↓ CPU ↓ GPU / HPC ↓ SIMULATOR ↓ QPU ↓ CPU ↓ RESULT
Useful quantum applications combine classical preparation, simulation, quantum execution and classical analysis. Mathnetica treats the complete workflow as an infrastructure problem.
Experimental
QBridge
QBridge explores a portable infrastructure layer for connecting classical workloads with quantum simulators and QPU backends. It is an open-source adapter direction within the Mathnetica Platform — not a finished enterprise product.
Need architecture help today?
While Mathnetica Platform remains experimental, organizations can hire Mathnetica for Architecture Review and specialized hybrid quantum infrastructure engineering.