Engineering Research
We explore the infrastructure required to run quantum workloads alongside existing cloud, Kubernetes and HPC environments. Research feeds the platform and commercial work — not a marketing blog.
Research practice
Research feeds the Mathnetica Platform — engineering problems we hit while building infrastructure for hybrid quantum-classical computing.
Infrastructure · Software · Systems
Research topics supporting the Mathnetica Platform — marked as in progress or planned when not yet published.
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 topicScheduling
Planned
How should infrastructure place and schedule stages when backends differ in availability, topology, queue time, fidelity, cost and policy?
Research topicWorkflows
In progress
Exploring workflow orchestration across CPU, GPU, HPC, simulators and QPUs — one workload, multiple classes of compute.
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