Abstract Current macroscopic antimatter confinement architectures (e.g., Penning–Malmberg and Ioffe–Pritchard traps) are fundamentally limited by the latency of probabilistic control systems (e.g., PID controllers) 1,2,6. At macroscopic particle densities, micro-fluctuations in magnetic shear can lead to plasma expansion and catastrophic annihilation within fractions of a second. This paper introduces a paradigm shift in containment: the application of the Aegis Autonomous Infrastructure utilizing Topological Geometric Calculus (TGC). By replacing reactive PID loops with a deterministic, predictive orchestration layer—vectorized via the Kolmogorov–Shannon Bridge—we propose a theoretical framework capable of maintaining geometric stability of an antimatter plasma core over sustained operation. The core contribution is a control abstraction that treats the trap’s evolving field configuration as a single reconstructable object, enabling microsecond-scale “observe–orient–actuate” decisions without iterative numeric solvers in the fast path. Sections 1–3 summarize the motivation, the state-compression step (KS Bridge), and the resulting deterministic actuation loop (Arete). We close with integration considerations and limitations appropriate to a conceptual design.
Leon Calvin II Long (2026) studied this question.