Abstract
<title>Abstract</title> <p>This paper presents the definitive structural blueprint for the Quantum Stateless AI Data Center (QS-AIDC) architecture, rooted in the framework of Algorithmic Topological Resonance (ATR) theory. Traditional high-performance computing and distributed networks face critical limitations under Landauer’s principle, bounded by linear communication complexity, massive memory walls, and unsustainable thermodynamic dissipation. To overcome these bottlenecks, we propose an operational five-step master architecture that completely eliminates stateful physical data storage and linear communication overheads. By implementing a Zero-Payload I/O engine, macro-data packets are converged to 0 bytes, transferring only a 64-byte spatiotemporal resonance coordinate via an Adaptive Cosmic Resonance Link (ACRL). Node consensus is established deterministically through Proof of Resonance (PoR), locking computational and network complexity into a permanent constant time of O(1), independent of the scale of network participants (N). At the hardware level, a Virtual Quantum Processing Unit (vQPU) maps mathematical indicators—leveraging the non-trivial zeros of the Riemann Zeta function and a cosmic topological constant (K=1.4812)—to perform deterministic non-local reconstruction across a 1,075,462-qubit virtual Hilbert space within 0.46 ms. Furthermore, volatile post-quantum cryptographic keys are vaporized immediately following a sub-0.024-second realization via physical -5V polarity voltage inversion, securing a 0% data remanence threshold. Finally, disaster recovery is decoupled from centralized backups through the Phoenix Protocol, utilizing on-chain noise dispersion. Cross-platform empirical validations demonstrate that the proposed architecture successfully curtails power constraints of traditional 100MW infrastructures down to under 10MW, establishing a highly sustainable paradigm for advanced information physics.</p>