Programmable Spectral Computing: Emergence of Modal Execution Logic

We report a structural discovery in frequency-based computing: that frequency- structured modal fields ϕ(t) can be dynamically activated through time-windowed control to produce interpretable logic trajectories. Unlike previous models based on spectral simulation, this framework introduces programmable frequency slot activation, state-driven output modulation, and entropy-based feedback stabiliza- tion. Modal execution is orchestrated by an external instruction structure, enabling the first demonstration of logic behavior in the frequency domain without tradi- tional transistors or digital gates. This work lays the foundation for a new class of post-silicon computing architectures driven by wave-based physics, offering a path toward ultra-low-power, scalable computation.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-08
DOI
https://doi.org/10.5281/zenodo.15368199
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Programmable Spectral Computing: Emergence of Modal Execution Logic

Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
article

Programmable Spectral Computing: Emergence of Modal Execution Logic

article en

Abstract

We report a structural discovery in frequency-based computing: that frequency- structured modal fields ϕ(t) can be dynamically activated through time-windowed control to produce interpretable logic trajectories. Unlike previous models based on spectral simulation, this framework introduces programmable frequency slot activation, state-driven output modulation, and entropy-based feedback stabiliza- tion. Modal execution is orchestrated by an external instruction structure, enabling the first demonstration of logic behavior in the frequency domain without tradi- tional transistors or digital gates. This work lays the foundation for a new class of post-silicon computing architectures driven by wave-based physics, offering a path toward ultra-low-power, scalable computation.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Neural Networks and Reservoir Computing
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