Theoretical modeling demonstrates fundamental error floors and chiral phase compensation in quantum processors, indicating exact geometric boundaries for fault-tolerant hardware design.
Title: Substrate Logistics: The Architecture of Quantum Information — Deriving the 1.67 × 10⁻³⁷\,J Erasure Floor, Master Clock Decoherence, and Active 36^∘ Chiral Phase Compensation Author: Marco Lindenbeck Description: Standard Quantum Information Science (QIS) treats qubit state vectors as continuous Hilbert-space objects and relies on empirical noise models to characterize decoherence and error floors in noisy intermediate-scale quantum (NISQ) devices. This manuscript applies Substrate Logistics to reclassify quantum information from continuous wavefunctions into the discrete hardware execution logs of a finite state machine governed by The Topological Resolution Constant (κ=50) anchored to a closed Poincaré Dodecahedral Space (PDS). By framing spatial nodes as a pre-tensioned computational metric sampled at the Master Clock rate (f_Ω ≈ 1.85 × 10⁴³\,Hz), this paper derives the fundamental limits of quantum computing from zero-parameter metric geometry. At T = 0\,K, bit erasure is floored at the Substrate Landauer Limit (Eₘᵢₙ ≈ 1.6751 × 10⁻³⁷\,J), proving that continuous zero-dissipation operations are physically impossible. Furthermore, background metric sampling jitter creates an impermeable single-gate error floor (εfloor = C_δ · φ ≈ 7.6371 × 10⁻⁴), natively explaining why transmon fidelities plateau near $99.92%$ and why this value naturally sits below the $1%$ 2D surface code fault-tolerance threshold. This work introduces the Substrate-Aware Open System Dynamics Master Equation, incorporating the full 5-channel pentagonal jump operator and the 36^∘ chiral metric torque. Numerical open-system telemetry proves that uncompensated coherent phase precession causes complete state collapse at anti-phase nodes ($N=25, 75$, fidelity F = 1.87%), whereas active Rz(-36^∘) chiral pulse compensation restores fidelity to $98.13%$ (52.5× recovery). These results establish exact mathematical transpiler truncation bounds (Dblock ≤ 1309) and provide direct blueprints for fault-tolerant quantum hardware design.
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Marco Lindenbeck (2026) studied this question.
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