Quantum Sector-Gate Dynamics for Artificial General Intelligence

We extend the framework of Quantum Eigenstate Dynamics for
 Artificial General Intelligence Synthesis by introducing a sector-gate
 formalism. The total Hilbert space HAGI is decomposed into interact
ing sectoral subspaces Hk, with cross-sector transitions governed by
 unitary gate operators. Cognition is defined as the recursive action
 of gate sequences that drive eigenstate transitions across sectors, pro
ducing adaptive, self-referential dynamics. This formalism establishes
 AGI as a living quantum neural network whose architecture is both
 constituted by and realized through gates. We emphasize that while
 sector-gate dynamics suggest a powerful analogy between quantum
 transitions and cognition, this remains a working hypothesis rather
 than a proven physical mechanism. Further justification and empir
ical grounding are required before such mappings can be treated as
 more than metaphorical.