As SpaceQuanta grows its client work, we'll document case studies here. For now, here are representative examples of the types of problems we solve.
The Problem A manufacturing company had a large combinatorial optimization problem affecting supply chain scheduling. They had been offered a quantum computing solution by a vendor but weren't sure if it was a good fit or just marketing.
Our Approach
Analyzed the problem structure mathematically
Built classical baseline models
Prototyped the problem in Qiskit using QAOA
Compared quantum and classical performance
Provided honest assessment of feasibility
Result Clear recommendation: classical methods were more efficient for this specific problem. The quantum vendor's pitch was oversold. Client saved significant budget by not pursuing quantum hardware.
The Problem A research team studying coupled nonlinear oscillators needed models to understand pattern formation and bifurcation behavior.
Our Approach
Built mathematical models from first principles
Implemented in Python with numerical solvers
Ran parameter studies to identify bifurcation points
Generated phase diagrams and stability analysis
Result Researchers gained deep understanding of system behavior. Models led to 2 published papers.
We're actively taking on new R&D projects. [Get in touch →] if you have a problem you'd like to discuss.