Skip to content
DraconiticResearch
Search Sources API
197,693 studies31 sourcesUpdated 59 min ago
PreprintarXiv licencearXiv

Advanced computational methods for simulating the classical hydrogen atom in stochastic electrodynamics

Abstract

Stochastic electrodynamics (SED) is a theory of nature seeking to derive key aspects of quantum mechanics and quantum electrodynamics from a purely classical physics perspective. While SED has been successful in many areas, it has had mixed success when addressing the classical hydrogen atom bathed in classical electromagnetic zero-point radiation. Because analytical approaches are largely intractable, advanced numerical simulation methods are required. To address this, we develop a pseudo-wave formulation that integrates the solid angle in k-space utilizing symmetry, resulting in a significantly reduced memory footprint and lower computational overhead for generating the zero-point radiation spectrum. This optimization is paired with a logarithmic frequency grid, a sliding window tracking the instantaneous Keplerian frequency, and a Tukey smoothing function to eliminate discrete force discontinuities. Integrated via an adaptive RK4 algorithm with step-doubling across highly dense grids of up to 100-million bins, these techniques demonstrate the asymptotic convergence of ensemble stability. We show that increasing grid resolution in the high-frequency domain systematically mitigates artificial electron decay, yielding a simulated probability density function that closely aligns with the quantum mechanical ground state P(r). Crucially, the simulations exhibit stable, low-eccentricity orbits without any observed atomic ionization events.

Related

  1. Simulating dynamics of the two-dimensional transverse-field Ising model: A comparative study of large-scale classical numerics
    Joseph Vovrosh, Sergi Julià-Farré, Wladislaw Krinitsin +11
    Physical Review ResearchPeer-reviewedCC BY1 citedQuantum physics & quantum informationHAL
  2. Compensated Free and Bound Sources and Nonradiating Conditions in Classical Electrodynamics
    Natan Rentzber
    arXivPreprintarXiv licenceFull textAtomic, molecular & optical physicsarXiv
  3. Wasserstein-2 gradient flows and the geometry of entropy production in classical and quantum stochastic thermodynamics
    Olga Movilla Miangolarra, Ralph Sabbagh, Artemy Kolchinsky
    Physical Review ResearchPeer-reviewedPublisher termsStatistical & nonlinear physicsCrossref
  4. Universal Scaling of Conditional Mutual Information in Classical Stochastic Dynamics
    Songlei Wang, Chenguang Liang, Zhi-Cheng Yang
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationStatistical & nonlinear physicsarXiv
  5. The Classical Boundary of Quantum Computation: History-Resolved Causal Stochastic Machines and the Cost of Classicalization
    Kyoungho Cho, Junghee Ryu, Minsu Kim +1
    arXivPreprintCC BY-NC-ND 4.0Full textQuantum physics & quantum informationarXiv
BibTeX
@misc{cole2026advanced,
  title = {{Advanced computational methods for simulating the classical hydrogen atom in stochastic electrodynamics}},
  author = {Daniel C. Cole},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.22393},
  eprint = {2610.22393},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.22393},
}
RIS
TY  - UNPB
TI  - Advanced computational methods for simulating the classical hydrogen atom in stochastic electrodynamics
AU  - Daniel C. Cole
PY  - 2026
DA  - 2026/10/13
PB  - arXiv
DO  - 10.48550/arxiv.2610.22393
UR  - https://arxiv.org/abs/2610.22393
AB  - Stochastic electrodynamics (SED) is a theory of nature seeking to derive key aspects of quantum mechanics and quantum electrodynamics from a purely classical physics perspective. While SED has been successful in many areas, it has had mixed success when addressing the classical hydrogen atom bathed in classical electromagnetic zero-point radiation. Because analytical approaches are largely intractable, advanced numerical simulation methods are required. To address this, we develop a pseudo-wave formulation that integrates the solid angle in k-space utilizing symmetry, resulting in a significantly reduced memory footprint and lower computational overhead for generating the zero-point radiation spectrum. This optimization is paired with a logarithmic frequency grid, a sliding window tracking the instantaneous Keplerian frequency, and a Tukey smoothing function to eliminate discrete force discontinuities. Integrated via an adaptive RK4 algorithm with step-doubling across highly dense grids of up to 100-million bins, these techniques demonstrate the asymptotic convergence of ensemble stability. We show that increasing grid resolution in the high-frequency domain systematically mitigates artificial electron decay, yielding a simulated probability density function that closely aligns with the quantum mechanical ground state P(r). Crucially, the simulations exhibit stable, low-eccentricity orbits without any observed atomic ionization events.
ER  -