Published February 14, 2026 | Version v2
Working paper Open

Real-Time Interactive Visualization of Quantum Tunneling: A Definitive Computational Approach

  • 1. bio-neural.ai
  • 2. bioneural.ai
  • 3. bioneuralai.com

Description

Abstract

We present a real-time, interactive visualization platform for quantum mechanical tunneling that achieves unprecedented computational performance through definitive computing methods. Using the Neural-Matrix Synaptic Resonance Network (NM-SRN v2.0 AGI QSC) architecture, we demonstrate O(1) constant-time calculation of tunneling probabilities independent of particle count, enabling visualization of 500,000 particles at interactive frame rates with 128-bit precision. The system maintains zero numerical drift through continuous mathematical integrity verification, providing both rigorous quantum mechanical accuracy and intuitive educational accessibility. We validate our results against analytical Wentzel-Kramers-Brillouin (WKB) approximation solutions, achieving agreement to four significant figures. This work establishes a new paradigm for computational physics visualization where real-time interactivity does not compromise mathematical rigor.

Keywords: Quantum tunneling, real-time visualization, definitive computing, computational physics, quantum mechanics education, GPU acceleration

Files

quantum_tunneling_announcement_paper.md_fin.pdf

Files (99.6 MB)

Name Size Download all
md5:2d7546217eb1bc58a19a1d89c2108a3a
48.2 MB Preview Download
md5:8b546a7e4f7d3234dffd87ed5be34a14
18.0 MB Preview Download
md5:8ad7d6ba79284b0053fa217c20a581f8
45.7 kB Preview Download
md5:1eacba69eb02efaf1216996820c7ff63
14.9 kB Preview Download
md5:ccbb02ec5203e9e7f4d0e9d1a773ff76
31.2 kB Preview Download
md5:120cb6060e29744f3bb63acadb3e06c4
6.5 MB Preview Download
md5:cde1c1414e51bfdc4e82b396b8e36a7c
6.7 MB Preview Download
md5:fc04f90fe70553ed7290982635064b4c
94.4 kB Preview Download
md5:487598f78dcfcddf4457afe8d389a1cf
19.6 MB Download
md5:0c01da2a166e6583f1f8db7bddfab611
303.4 kB Preview Download

Additional details

Related works

Is supplement to
Working paper: 10.5281/zenodo.15169311 (DOI)
Working paper: 10.5281/zenodo.15645648 (DOI)
Working paper: 10.5281/zenodo.15686190 (DOI)
Working paper: 10.5281/zenodo.18357930 (DOI)