Quantum Engineering Platform
Hybrid quantum-classical optimisation and post-quantum security tooling.
- Domain
- Quantum
- Platform
- SSM Quantum
- Readiness
- To be confirmed
Platforms
SSM Quantum
Practical quantum engineering. SSM Quantum identifies where quantum and quantum-inspired methods can help today, and prepares systems for the post-quantum era.
Capabilities
Quantum optimisation, quantum ML, post-quantum security and hybrid quantum-classical workflows.
- Quantum optimisationRouting, scheduling and allocation problems on quantum and quantum-inspired solvers.
- Quantum machine learningExploring quantum models for classification and sensing data.
- Post-quantum securityMigrating embedded and cloud systems to PQC algorithms.
- Hybrid workflowsPipelines that split work between classical and quantum compute.
- BenchmarkingHonest comparisons of quantum and classical approaches.
- Readiness assessmentsWhere quantum fits in your roadmap, and where it doesn't.
Where it's used
Typical deployments. Every system is configured to the vehicle, asset or environment it runs in.
- Logistics optimisationFleet routing and scheduling at scale.
- Secure devicesPost-quantum cryptography for connected and defence hardware.
- R&D partnershipsJoint research with universities and labs.
Projects on this platform
Prototypes and systems built on SSM Quantum.
Other platforms
Most systems combine more than one.
SSMAutonomy
Autonomous navigation, SLAM, path planning, control, obstacle avoidance and mission intelligence.
SSMDigital Twin
Real-time asset monitoring, anomaly detection, RUL prediction, simulation and optimisation.
SSMRobotics
UGV, AGV, robotic arms, inspection robots, agricultural robots and physical AI.
SSMAerospace AI
Drone autonomy, star trackers, satellite analytics, orbital collision prediction and space robotics.
Talk to the SSM Quantum team.
Share your use case and constraints. We'll come back with a technical approach, a demo and a realistic path to deployment.