The Pareto Frontier of Computation

Why There Is No Single Fundamental Limit

Author: QNFO Research Collective (Rowan Brad Quni-Gudzinas) | Date: 2026-07-09 | DOI: 10.5281/zenodo.21274544 | License: QNFO-ULA

Abstract

The question "What are the fundamental limits of computation and information?" admits six distinct answers — Landauer, Bremermann, Bekenstein, Margolus-Levitin, Kolmogorov, and Church-Turing — each derived under incompatible assumptions. This 24-task, 6-phase research program demonstrates that no physical system can simultaneously saturate all limits. The true constraint is a multi-dimensional Pareto frontier. The six limits form a distributive lattice. P_min = 4(kT)^2 ln 2 / h, approximately 7.18e-8 W at 300 K.

Six Fundamental Limits

LimitFormulaWhat It Bounds
Landauer (1961)kT ln 2Energy per irreversible bit erasure
Bremermann (1962)mc^2/hBits/s/kg throughput
Bekenstein (1981)2pi k R E / hbar cMaximum entropy in bounded region
Margolus-Levitin (1998)h/(4E)Minimum time for orthogonal transition
Kolmogorov (1965)K(x)Shortest program for string x
Church-Turing (1936)What can be computed at all

Key Findings

  1. Landauer is a zero-speed limit. At any finite speed, dissipation exceeds kT ln 2. Confirmed via Langevin simulation and Crooks fluctuation theorem.
  2. The Pareto frontier is non-degenerate. 6 optimal configurations from 10,000 explored across temperature, mass, and radius.
  3. QEC overhead is 2.8e7x above Landauer. Fault-tolerant quantum computing may be thermodynamically prohibitive.
  4. The six limits form a distributive lattice. Verified across all 216 triples with 0 violations.
  5. P_min = 4(kT)^2 ln 2 / h. The only scaffold-invariant minimum computational power.
  6. Human brain at 5.27e-35 of Bremermann. Biology never approaches fundamental physical limits.

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