Recursive Intelligence Enhancement

Recursive Intelligence Enhancement is the book's projection of computational capacity for 2035–2040, when recursive quantum intelligence systems and self-modifying quantum algorithms are expected, grown from the 2035 capacity by an exponential of recursive depth. It follows Near-Term Quantum Enhancement in the book's predictive scaling models and represents the culmination of computational evolution with self-modifying systems. The book argues that future capacity is governed not by linear extension but by recursive thresholds that compound into phase transitions, and that the exponential, logarithmic and sigmoidal forms of these projections show recursive amplification continuing to dominate progress. The projections are then tested statistically through Monte Carlo timeline analysis. C₂₀₄₀ = C₂₀₃₅ × exp(γ × Dℜ(2040)), where C₂₀₄₀ and C₂₀₃₅ are the computational capacities in 2040 and 2035 [𝕋⁻¹], γ is the recursive amplification parameter (0.5 ± 0.2) [∅] and Dℜ(2040) is the recursive depth in 2040 [∅]. The book checks [𝕋⁻¹] = [𝕋⁻¹] × [∅]. It follows Near-Term Quantum Enhancement and connects to Recursive Depth, Monte Carlo Simulation Results, Timeline Probability Distribution and Future Computational Evolution Trajectories.