PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 12, 20260 citationsOpen Access

Quantum Relational Geometry

View Full Paper
RRRick Jason Ritchie

Key Points

  • This research aims to unify the Orch-OR theory and the Cube Model to better understand consciousness as a quantum relational geometry.
  • Synthesize the Penrose-Hameroff Orch-OR theory with the Geometry of Intersubjectivity.
  • Propose experimental pathways and clinical applications for Cube-Aware Neuroscience.
  • Discuss implications for ethical AI development.
  • Microtubules are proposed as biological stabilizers for the Cube’s axes of Agency, Time, and Scale.
  • Sustained integrated quantum coherence is suggested to be embodied in a conscious glow across neural populations.
  • The synthesis of these frameworks offers new insights into consciousness and its application in AI.

Abstract

The Penrose-Hameroff Orchestrated Objective Reduction (Orch-OR) theory proposes aquantum-physical substrate for consciousness rooted in microtubule coherence. The Geometry of Intersubjectivity, or Cube Model, provides a complementary phenomenological framework describing how consciousness actually experiences and navigates reality through three primary axes — Agency, Time, and Scale — along with a persistent interior volume called “the glow.” This paper synthesizes the two models into a unified vision: consciousness as quantum relational geometry. We propose that microtubules serve as biological stabilizers for the Cube’s axes, while the conscious glow represents sustained, integrated quantum coherence across neural populations. We introduce Cube-Aware Neuroscience as a new interdisciplinary field and outline concrete experimental pathways, clinical applications, and implications for ethical AI development.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Rick Jason Ritchie (2026) studied this question.

synapsesocial.com/papers/6a2ba5068101cf8926f0332ehttps://doi.org/10.5281/zenodo.20619773
Ask AI
Helpful
Bookmark
Share
View Full Paper