Quantum Harmonic Learning: Evolutionary Learning Beyond Backpropagation

Quantum Harmonic Learning is a next-generation artificial intelligence paradigm that eliminates backpropagation and replaces it with evolutionary learning, harmonic activations, and adaptive wave-driven weight updates. Unlike traditional deep learning, which relies on gradient descent, Quantum Harmonic Learning evolves its parameters dynamically through oscillatory transformations and self-regulating mutations, making it more efficient, scalable, and biologically plausible.

Publication Details

Journal
Open Science Framework
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/dcx5e
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantum Harmonic Learning: Evolutionary Learning Beyond Backpropagation

Open Science Framework
Neural Networks and Reservoir Computing
article

Quantum Harmonic Learning: Evolutionary Learning Beyond Backpropagation

article en

Abstract

Quantum Harmonic Learning is a next-generation artificial intelligence paradigm that eliminates backpropagation and replaces it with evolutionary learning, harmonic activations, and adaptive wave-driven weight updates. Unlike traditional deep learning, which relies on gradient descent, Quantum Harmonic Learning evolves its parameters dynamically through oscillatory transformations and self-regulating mutations, making it more efficient, scalable, and biologically plausible.

Open Science Framework
Openalex Percentile: Top 74%
Neural Networks and Reservoir Computing
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Quantum Harmonic Learning: Evolutionary Learning Beyond Backpropagation · Open Science Framework (2025) | TGRS Research Map | TGRS