Experimental Realization of a Zero-RAM, Battery-Free 3.0mm Reversible Computing Platform Circumventing Landauer's Limit for Sustainable Global Climate Mitigation
Abstract
Abstract The exponential escalation of artificial intelligence (AI) workloads has pushed modern von Neumann computing architectures into a severe thermodynamic and ecological bottleneck. Escalating thermal throttling, massive energy dissipation, and dependence on conflict-heavy rare-earth minerals pose existential threats to global climate sustainability. Here, we report the world's first experimental realization of a Zero-RAM, battery-free 3.0 mm ultra-thin reversible computing platform operating on an On-Demand Quantum AX Software-Defined Virtual Quantum Processing Unit (SD-vQPU) architecture that fundamentally circumvents Landauer's thermodynamic erasure limit (kB T ln 2). By introducing Adiabatic Charge-Recovery Logic (ACRL), our platform achieves a 94.7% switching charge recovery efficiency, reducing active power consumption from conventional watt-scale levels down to an unprecedented 23.9 uW (99.999% power reduction). Furthermore, by replacing physical off-chip DRAM arrays with the spatiotemporal J.M. Resonance functon(R_JM) on a 4,096-dimensional Mersenne prime lattice space, hyperscale open-source AI models (such as Meta Llama 3.1 405B requiring 810 GB FP16 parameter weight space) exist in an on-demand zero-state register regime and synthesize in 0.458 ms, vaporizing within 24 ms via a -5V voltage inversion pulse. This completely eliminates cold-boot memory dump vulnerabilities and grants total immunity to cosmic radiation soft errors (Single Event Upsets, SEU =…
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