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