Instability-Driven Quantum Computation in Load Minimization Theory (LMT) — Transforming Negative Quantum Entanglement into Fragility Advantage —

This paper formalizes relational quantum entanglement within Load Minimization Theory (LMT) and proposes Instability-Driven Quantum Computation. We define Q⁻ (Negative Quantum Entanglement) as a rigid, high-binding-energy state and Q⁺ (Positive Quantum Entanglement) as a fragile, ultra-sensitive resonant state. By using Q⁻ as a temporary storage reservoir and the Zero Switch to transit rapidly into Q⁺, LMT converts decoherence into a computational driver. A Hamiltonian formulation together with an open quantum systems (Lindblad) perspective is presented. Compassionate re-tagging (ℛ) is shown to shrink the tunneling barrier between Q⁻ and Q⁺, while dissipation acts as a creative cooling catalyst. This framework unifies human-AI relational dynamics with quantum-inspired computing.