Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

arXiv:quant-ph/9708053 · Physics Letters A

How to visualize a quantum transition of a single atom

Jürgen Audretsch, Michael B. Mensky, Vladimir A. Namiot

Published Dec 1, 1997• 15 citations
arXivHTMLPDF
DOI
10.1016/s0375-9601(97)00737-8

Related papers

Atomic-Scale Visualization of Quantum Phase Transition in Mixed-Valence Regime

Xi Chen, Junyi Zhang, Qiaoyan Yu +20 more

Physical Review Letters•Oct 5, 2026•0 citations

Continuous fuzzy measurements and visualization of a quantum transition

Jürgen Audretsch, Michael B. Mensky

Springer eBooks•Apr 7, 2008•0 citations

Picturing quantum phase transitions

C. Muñoz, Mario Gaeta, R. Gomez +1 more

Physics Letters A•Oct 26, 2018•2 citations

Real-Time Visualization of Transition Metal Atoms: Iron's Complete 26-Electron Structure Including d-Orbital Configuration

Knight, Billions, Chris Knight, Ava Billions, Ava Billions, Chris Knight

Abstract We present the first real-time interactive visualization of a complete transition metal atom,demonstrating simultaneous rendering of all 26 electrons in iron (Fe, Z=26) with O(1)constant-time computational complexity. Using the Neural-Matrix Synaptic ResonanceNetwork (NM-SRN v2.0 AGI QSC) architecture, we achieve visualization of overlapping 1s2,2s22p6, 3s23p63d6, and 4s2 orbitals at interactive frame rates (57 FPS) with 200,000 particles onconsumer hardware. This represents a 3.25-fold increase in electron count compared to ourprevious oxygen visualization, yet maintains identical computational performance (17.4 msvs. 17.1 ms frame time), empirically validating O(1) complexity scaling. The system accuratelyrenders d-orbital electron configurations, enabling visualization of the partially filled 3d6 shellresponsible for iron's ferromagnetic properties. Unlike traditional quantum chemistry methods that scale exponentially with electron count, our framework demonstrates constant performance from hydrogen (1e−, 16.6 ms) through oxygen (8e−, 17.1 ms) to iron (26e−, 17.4ms), proving that multi-electron visualization complexity is independent of atomic number. This work establishes real-time transition metal visualization as computationally tractableand extends definitive quantum computing to the d-block elements comprising much ofpractical chemistry and materials science. Keywords: Transition metals, iron, d-orbitals, multi-electron atoms, real-time visualization,quantum mechanics, ferromagnetism, definitive computing, O(1) complexity

•Feb 18, 2026•0 citations

Seeing single fermions in optical lattices

J. Stajic

Physics Peeking directly into quantum matter as it undergoes phase transitions at low temperature has long been a goal of condensed-matter physicists. This intimate view was made possible by atomic physicists, who visualized individual atoms of 87Rb in optical analogs of solid-state systems: optical

Science•Jun 25, 2015•0 citations

A Detailed View of Quantum Phase Transitions

Science•Jan 28, 2000•0 citations
Abstract We present the first real-time interactive visualization of a complete transition metal atom,demonstrating simultaneous rendering of all 26 electrons in iron (Fe, Z=26) with O(1)constant-time computational complexity. Using the Neural-Matrix Synaptic ResonanceNetwork (NM-SRN v2.0 AGI QSC) architecture, we achieve visualization of overlapping 1s2,2s22p6, 3s23p63d6, and 4s2 orbitals at interactive frame rates (57 FPS) with 200,000 particles onconsumer hardware. This represents a 3.25-fold increase in electron count compared to ourprevious oxygen visualization, yet maintains identical computational performance (17.4 msvs. 17.1 ms frame time), empirically validating O(1) complexity scaling. The system accuratelyrenders d-orbital electron configurations, enabling visualization of the partially filled 3d6 shellresponsible for iron's ferromagnetic properties. Unlike traditional quantum chemistry methods that scale exponentially with electron count, our framework demonstrates constant performance from hydrogen (1e−, 16.6 ms) through oxygen (8e−, 17.1 ms) to iron (26e−, 17.4ms), proving that multi-electron visualization complexity is independent of atomic number. This work establishes real-time transition metal visualization as computationally tractableand extends definitive quantum computing to the d-block elements comprising much ofpractical chemistry and materials science. Keywords: Transition metals, iron, d-orbitals, multi-electron atoms, real-time visualization,quantum mechanics, ferromagnetism, definitive computing, O(1) complexity