"QuBE: Illuminating the Path to Quantum-Optical Maze Mastery" Abstract This document introduces an innovative approach to solving mazes and complex optimization problems by combining advanced principles of optical and quantum physics within a three-dimensional neural processing system, the Quantum Beam Engine (QuBE).
Quick read
Latest capture 2026-11-07 04:11
Compare the starting count and capture dates, not just the percentage. How to read GitHub star growth. Missing history is not zero growth.
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
3 observed captures since 2026-11-05. Observed captures are shown by default.
Stars from first capture 0
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Generate Cool-Looking Mazes and Animations Illustrating the A* Pathfinding Algorithm
NEBULA-X Research: A Technical Capabilities Report
The Biggest Innovation Challenge facing Humanity This comprehensive study presents the results of 20 experimental investigations designed to test the "Darwin's Cage" hypothesis proposed by Gideon Samid: that artificial intelligence systems can discover physical laws independent of human conceptual frameworks.
Quantum-inspired Echo State Network for multi-agent behavior analysis (MABe challenge)
Acceleration of Language Models Through Simulated Holography and Raytracing
NEBULA Evolving Towards AGI: Self-Evolving, Quantum-Inspired AI System
