EL-RAKHAWI FAULT-TOLERANT QUANTUM COMPUTING ARCHITECTURE: NEUROMORPHIC TOPOLOGICAL ERROR CORRECTION AND DYNAMIC ENVIRONMENTAL DECOUPLING FOR SCALABLE, COMMERCIAL-GRADE QUANTUM SUPREMACY
mohamed kamal arafa el-rakhawi
The El-Rakhawi Fault-Tolerant Quantum Computing (FTQC) Architecture revolutionizes quantum computing by solving the critical decoherence and overhead bottleneck that has prevented commercial-grade quantum supremacy. Addressing the fragility of qubits and the prohibitive 1000:1 physical-to-logical qubit ratio of traditional Quantum Error Correction, FTQC integrates four novel modules: a Topologically Protected Logical Qubit Substrate encoding information non-locally using non-Abelian anyons for passive immunity against local noise; a Neuromorphic Quantum Error Correction (N-QEC) Engine employing ultra-low-power analog neuromorphic hardware for real-time syndrome decoding with sub-microsecond latency, learning non-Markovian noise profiles; a Dynamic Environmental Decoupling Matrix using predictive machine learning to proactively cancel environmental perturbations before decoherence occurs; and a Noise-Aware Quantum Compiler optimizing circuit routing to minimize depth and error probability. Performance is quantified by the El-Rakhawi Quantum Fault-Tolerance Efficiency Metric (EQFTEM), yielding Logical Operations per Joule, directly linking computational throughput to thermodynamic cost. This architecture reduces the overhead ratio to <100:1, making million-qubit fault-tolerant machines commercially viable, unlocking precise simulation of complex quantum systems, post-quantum cryptography, and global optimization, while democratizing quantum access through reduced energy requirements.
•Oct 15, 2026•0 citations