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May 24, 20260 citationsOpen Access

The Entangled Neuro-Quantum Architecture (ENQuA): A Framework for Multi-Brain Quantum-Enhanced Cognition

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NKNawabzada Hashim Ali khan

Key Points

  • This research aims to present a framework for collective cognition by linking human brains with quantum computing.
  • Introduced ENQuA, a network connecting human brains to a central quantum computer.
  • Utilized microtubules as quantum processors and tryptophan networks as quantum buses.
  • Discussed the interface technology involving non-invasive sensors and outlined the '3-Layer Quantum Brain Hypothesis.'
  • Proposed unified conscious experience achievable through the ENQuA framework.
  • Identified key quantum biological phenomena that could enhance cognitive processing speed.
  • Synchronized quantum states in neural interfaces to support hybrid computation.

Abstract

This paper introduces the Entangled Neuro-Quantum Architecture (ENQuA), a hypothetical framework for a network of human brains interfaced with a central quantum computer. Building upon the 2025–2026 experimental validation of robust quantum phenomena in biological systems—including room-temperature protein-based qubits and confirmed superradiance in tryptophan networks—we propose a hybrid network topology. The ENQuA leverages microtubules as local quantum processors and superradiant tryptophan networks as ultra-fast "quantum buses" for inter-neural signaling. The interface utilizes non-invasive Motif DOT XCS technology and Nitrogen-Vacancy (NV) center sensors to bridge biological and synthetic quantum states. We address decoherence through the "3-Layer Quantum Brain Hypothesis," combining long-lived nuclear-spin memory with radical-pair reservoirs and motional-narrowing stabilization. The architecture’s capabilities include unified conscious experience and hybrid neuromorphic-quantum computation. Finally, we analyze the 2026 UNESCO mandate for Quantum Neurorights. This work synthesizes the latest breakthroughs in quantum biology, neuromorphic engineering, and neuroethics to propose a scientifically grounded vision for the future of collective cognition.

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Cite This Study

Nawabzada Hashim Ali khan (2026) studied this question.

synapsesocial.com/papers/6a12968148a0ea1665673587https://doi.org/10.5281/zenodo.20339361
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