Non-Linear Quantum State of Adaptive Quantum Computing

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing framework predicated on non-linear quantum states, designed for adaptive quantum computation. The core mechanism leverages dynamic parameter adjustment to enable significantly more flexible quantum calculations, leading to improved computational efficiency. The proposed approach contrasts with traditional quantum algorithms that rely on fixed parameters, offering a paradigm shift towards dynamic optimization. The paper details the framework's architecture, explores the benefits of dynamic parameter adjustment, and presents preliminary results demonstrating enhanced performance compared to existing methods. We highlight the potential for this approach to unlock new computational capabilities and address limitations of current quantum hardware.

DOI: 10.5281/zenodo.22314613

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