This is a proposal of a novel framework leveraging graph gauge theory to develop the Quantum Virtual Mind (QVM), a computational platform integrating classical and quantum algorithms to mimic human brain neural activity. The core hypothesis posits that an artificially trained quantum connectome can emulate neural patterns by mapping electromagnetic (EM) field distortions onto symmetry-breaking phenomena within a quantum computational framework. EM distortions, captured via Brain-Computer Interface (BCI) devices, characterize the quantum connectome and enable quantum simulations in the QVM, allowing real-time computation of an individual's emotional signatures, referred to as the Mental Stress Tensor (MST). This work bridges gauge theory, connectome studies, and neural networks to facilitate computation of agentic components in Multi-agent AI systems.