"Shuiquan Wisdom: Exploring Quantum Entanglement Memory (QEM) for Long-Term Cognitive Architectures"

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Authors: quan shui
Cited by: 0

Abstract

"This research introduces Shuiquan Wisdom, a transformative paradigm in artificial intelligence that leverages Quantum Entanglement Memory (QEM) to move beyond static data storage toward active cognitive construction. Developed by the Shuiquan Future Science Lab, this framework addresses the \"memory decay\" problem in traditional AI by implementing an Entanglement Field where discrete memory shards are interconnected through quantum-logical relationships.\u200bThe core of the system features the Quarantine Sublimation mechanism, which refines ambiguous data into \"Intuition Seeds,\" and the 1+(-1) Quantum Logic for autonomous self-healing of the memory substrate. By simulating the synergistic mechanisms of high-dimensional information flow, Shuiquan Wisdom provides a production-grade blueprint for long-term reflection and artificial consciousness. This work establishes a new benchmark for creating resilient, self-evolving cognitive systems capable of human-like association and deep reasoning."

Fields of Study & Subjects

Cognitive Computing and Networks Psychiatry Mental Health Neuroscience Quantum Computing Algorithms and Architecture

Publication details

Journal / source
IEEE DataPort
Publication date
14 January 2026
Document type
Dataset