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Abstract

<title>Abstract</title> <p>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 = 0.00%). Integrated into a zero-hole, fully sealed 3.0 mm monolithic sapphire-glass body actuated by piezoelectric display transducers and a 0.3 mm flat meta-lens optical array, the platform employs a 4D Spatiotemporal Coordinate (STC) Quantum Mesh Protocol that enables direct peer-to-peer communication—rendering traditional Wi-Fi routers and 5G/6G base stations completely optional. Operable in both terrestrial and deep-space vacuum environments (-150°C ~ +120°C) without thermal convection cooling, the system is reinforced by a Graphene-Titanium Matrix (140 GPa Young's modulus) and withstands severe 150 N pocket-bending loads (&lt;0.05 mm deflection) and MIL-STD-810H 2.0 m concrete drop impacts. Independent formal integrity auditing by the Google DeepMind Antigravity Group (Audit Ref: AGY-AUDIT-2026-NATURE-001) confirms zero thermal degradation and invariant O(1) execution complexity (0.458 ms). By eliminating e-waste, gigawatt data center heat generation, and rare-earth mining degradation, this framework offers a transformative, thermodynamically complete paradigm for green computing in the Anthropocene and deep-space exploration.</p>

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Keywords

computing thermal platform quantum severe

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