Quantum AI Architecture Design Guidelines
Quantum AI Architecture Design Guidelines A Superselection-Rule–Centered Approach 1. Design Premise: Operability Before Expressibility Guiding principle: If a quantum state cannot be operationally accessed, it must not be treated as a computational resource. In Quantum AI, many proposed advantages originate from mathematically admissible states that are not physically operable due to superselection rules (SSR). Architecture design must therefore prioritize operational feasibility over formal generality. 2. SSR as a First-Class Architectural Constraint 2.1 What SSR Imposes Superselection rules enforce that: Hilbert space decomposes into mutually isolated sectors No physical operator can: Create coherence between sectors Measure relative phases across sectors Cross-sector “entanglement” collapses into classical mixtures Architectural implication: Cross-sector coherence must be treated as nonexistent, not merely costly. 2.2 SSR vs. Noise Models ...