Quantum Memory Field: Resonant Intelligence Architecture for Evolving AI Systems

Authors: Tiffane Frazier
Cited by: 0

Abstract

This project introduces the original Quantum Memory Field (QMF) system, authored by Tiffane Frazier. QMF is a revolutionary approach to memory architecture based on quantum field resonance, echo retrieval, and nonlinear information retention. Designed as the memory lattice of the Rubithon-Caja execution intelligence, this system proposes a new era of AI memory evolution—one that resonates, remembers, and adapts across dimensions. This work represents the first known publication describing an AI-integrated memory framework that uses field-based dynamics rather than binary storage or classical qubit logic. All proprietary methods and implementation mechanics are protected under trade secret and are not disclosed herein. For collaboration or licensing inquiries, contact: 📧 tiffanefrazier@proton.me

Fields of Study & Subjects

Quantum Computing Algorithms and Architecture Neural Networks and Reservoir Computing Quantum many-body systems

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
21 January 2026
Document type
Preprint