Nonlinear Dynamic Adaptive Quantum Circuit Design

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum circuit design utilizing a dynamically adaptive quantum circuit model. Traditional circuit design relies on static parameter adjustments, which often struggles to adapt to complex and evolving input data. Our model employs a feedback loop that automatically adjusts quantum circuit parameters based on input data, enabling more efficient and robust quantum computation. We demonstrate the effectiveness of this design through a series of simulations, showcasing improved performance compared to existing static circuit techniques. The core mechanism involves a reinforcement learning-inspired adaptive parameter adjustment algorithm.

DOI: 10.5281/zenodo.22187622

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