Python Simulation: High-Dimensional Optical Interference via Counter-Propagating OAM States for Photonic AI

Hi everyone, I have developed a theoretical and simulation framework centered on the generation and dynamic analysis of high-dimensional optical interference patterns produced by counter-propagating OAM states. As silicon architectures rapidly approach their physical boundaries and energy walls for AI computing, this framework leverages spatial phase topologies to multiply data dimensions within a single spatial field. By engineering the phase profiles of two opposing helical wavefronts (± l), we induce a continuous wave superposition that yields stable, multi-dimensional geometric petal-like patterns. Potential Applications: Photonic AI Computing: Mapping continuous matrix-acceleration directly into the optical domain. 6G & Deep-Space Comms: Exponentially scaled bandwidth without frequency congestion. Quantum Cryptography: Advanced phase topology providing physical-layer security. The code is fully open-source. I would highly value your technical feedback, equations optimization, or suggestions for hardware mapping! 🔗 Check out the full repository and Abstract here: github.com Looking forward to a great scientific discussion! submitted by /u/Warm_Reception6938 [link] [comments]