How it works
Technical details on how Open PenQuin works
The challenge for studying the security of quantum computers in nuclear SCADA/IC schemas lies in the security algorithms that will be used.
With traditional HPCs (high performance computers) in nuclear SCADA/IC schemas, linear analysis patterns are effective. With quantum computers, nonlinear analysis patterns must be used because the quantum stack within the nuclear SCADA/IC schema is more complex.
Open PenQuin is constructed in modules and chained together with theorems that build up layer by layer — the lemmas, corollaries, and conjectures necessary for a rigorous vulnerability analysis framework.
This analysis focuses on program loops, worst case execution times (WCETs), and worst case execution paths (WCEPs), for Azure Quantum and Majorana 1 stacks in nuclear SCADA/ICS.
Open PenQuin can reverse engineer different parts of the quantum stack with its internal reinforcement learning, zero-shot engine.
With expertly assembled mathematical algorithms, we use the Langlands Program approach to model novel analysis techniques that use indirect coordination for their gadgets and proglets.
This results in “self-organizing” analysis techniques that adapt more readily than traditional, pattern-based approaches.
These techniques are nonlinear, allowing them to characterize behavior that pattern-based methods miss.
Open PenQuin is optimized according to the accuracy, speed, and efficiency of its reverse engineering and vulnerability analysis algorithms.
While the security analysis workflows for quantum stacks in nuclear SCADA/ICS can be multifaceted, Open PenQuin focuses primarily on understanding how vulnerabilities arise within program loops.
Dive Deeper
Ready to explore the technical details?
- Overview — A concise introduction to the full system: the problem, the approach, and how it all fits together.
- Linear Structures — The mathematical framework: line types, colored bits, directed chains, tangents, and higher structures.
- Technical Reference — QIR integration, MLIR, advanced mathematical concepts, and module architecture.