A Tiered Evidence Program for a Holographic Quantum Artificial-Life Architecture

HALO (Holographic Artificial-Life with Observational confinement) is a quantum-computing architecture integrating the Page–Wootters mechanism, decoherence-free subspace encoding, subspace-isometric holographic compression, and complexity-theoretic fitness encryption. Using a six-rung claim-ladder methodology, we report evidence at six levels: toy-scale composability (C0), sub-linear qubit-count scaling in a matched-fidelity proxy benchmark (C1), explicit isometric compression across k-excitation subspaces (C2), a statistically significant security hardening trend under a bounded heuristic attacker (C3), direct-sum isometric embeddings spanning multiple excitation sectors with zero isometry error (C4), and a fully quantum multi-generation evolution loop via Grover amplitude amplification with no intermediate measurement (C5). Hardware-scale validation is identified as an open problem and explicitly deferred (C6). All simulation code (Qiskit / NumPy), raw data (JSONL), and reproduction scripts are included.