Energy-efficient AI architecture optimization through thermodynamic analysis and causal derivation
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Updated
Jul 2, 2026 - Python
Energy-efficient AI architecture optimization through thermodynamic analysis and causal derivation
REVO — Inference-Time Transformations (Research Prototype)
Proof-carrying Smithian Fold derivation and executable laboratory for classical and quantum computational sciences
CARMEN-Q: exact causal audit-return bounds and reproducible quantum-memory benchmarks
Logic gates and a 4-gate priority-encoder pipeline built from nothing but Newtonian point-mass gravity
Reproducible demonstration that uncomputation with U-dagger reduces circuit width from O(N) ancillas to O(1) - PennyLane benchmark plus a standalone browser simulation
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