Engineering the Post-Silicon Computational Paradigm: A Roadmap for Petaflop-Scale Bio-Synthetic Reservoir Computing

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Authors: Todd Everett Caldwell
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Abstract

1. The Big Idea: Growing our Computers Traditional silicon chips (CMOS) have hit a "thermodynamic wall"—they generate too much heat and require massive amounts of energy to scale further. The BSRC roadmap proposes "Ghost" circuits: post-living systems that use a mycelium scaffold (the root-like structure of fungi) hybridized with rhombohedral graphene and carbon nanotubes. +3 Why Fungi? Efficiency: Biological networks use 3D fractal structures that are much more efficient at moving information than the 2D "Manhattan grids" used in silicon. +1 Small-Worldness: These networks achieve an "exordic" state where information transport is 30 times more efficient than unstructured grids. +1 Scalability: Signals propagate logarithmically ($L \propto \log N$), meaning the system can handle massive amounts of data with minimal delay. +1 2. Performance: Speed & Power The goal is to reach petaflop-scale performance while using less than 1% of the energy of a modern GPU farm. +1 Metric Traditional Silicon (GPU) Bio-Synthetic (BSRC) Energy per Operation ~150 fJ (femtojoules) < 1 fJ Bandwidth 1–10 GHz 150–270 GHz Cooling Active (Fans/Liquid) Passive (Fractal Bio-Heat Sink) Logic Type Irreversible CMOS Reversible Spiking Logic The system uses Reversible Spiking Logic (RSL), which mimics how the human brain processes information using discrete "spikes" of data rather than constant electrical flows, drastically reducing heat and energy loss. 3. The "Biological Mechanic": Self-Healing Circuits Unlike a silicon chip, which is ruined by a single micro-fracture, BSRC is designed for a 20+ year lifespan through autonomous self-repair. Dormant Bacteria: The circuit contains spores of a specially evolved bacterium (Sporosarcina pasteurii). +1 Triggered Repair: When a crack occurs, the change in the electrical field triggers the bacteria to wake up. Biomineralization: The bacteria produce calcium carbonate (a mineral "glue") to fill the fracture and restore electrical continuity. 4. Environmental Impact: Carbon-Negative Computing BSRC aims to transform data centers from environmental burdens into carbon sinks. Waste-to-Value: The hardware is grown on agricultural waste like hemp, rice straw, or sawdust. Carbon Sequestration: Mycelium naturally captures and stores $CO_2$. A 100-rack facility could potentially sequester over 15,000 kg of $CO_2$. +1 Biodegradability: At the end of its life, the organic parts of the computer are 100% biodegradable, while the graphene and nanotubes are reclaimed for new chips. +2 5. The 20-Year Roadmap (The Four Eras) The document outlines a transition from stationary infrastructure to autonomous "living" machines: +1 Era 1: The Infrastructure (Years 0–5): Building carbon-negative data centers and standardizing mycelium-based server racks. Era 2: The Interface (Years 5–10): Developing high-bandwidth Brain-Machine Interfaces that are mechanically soft and won't be rejected by the body. Era 3: The Embodiment (Years 10–15): Integrating these "brains" into mobile bodies using synthetic musculature made of conductive polymers. +1 Era 4: The Autonomy (Years 15–20): Creating fully self-growing, self-repairing "Living Machines" that function as biological/machine hybrids.

Fields of Study & Subjects

Advanced Memory and Neural Computing DNA and Biological Computing Neural Networks and Reservoir Computing

Publication details

Publication date
1 January 2026
Language
EN
Document type
Preprint