This paper proposes a novel Resonance and Reconstruction Communication Paradigm designed to resolve the thermodynamic entropy crisis and memory bandwidth bottlenecks inherent in von Neumann computing architectures and autoregressive Large Language Model (LLM) inference. Under the traditional storage-based paradigm, transmitting and processing massive context sizes require continuous, power-intensive Key-Value (KV) cache loading, resulting in the Key Storage Paradox. To bypass these physical limits, we introduce a method to mathematically annihilate data into a compact 64-byte spatiotemporal coordinate vector. Rather than transmitting physical token streams over bandwidth-constrained channels, the coordinate vector is transmitted to a Virtual Quantum Processing Unit (vQPU) engine, which deterministically reconstructs the original gigabyte-scale context sequence on volatile memory via high-dimensional Mersenne prime lattices and the J.M. Function. Empirical modeling demonstrates that this paradigm reduces AIDC computing power requirements from 100MW to below 10MW, eliminating persistent storage requirements and providing a stateless, keyless information security model for post-quantum digital sovereignty.
Min Ho Jung (Sat,) studied this question.