Title: Adaptive Quantum State Mapping for Quantum Circuit Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces an adaptive quantum state mapping algorithm designed to optimize quantum circuits. The core concept lies in leveraging the inherent adaptability of quantum states to dynamically adjust parameters within the optimization process. Traditional quantum circuit optimization methods often rely on static parameters, which can limit the algorithm's effectiveness and stability. This work proposes a novel approach that utilizes self-adaptive mapping to achieve improved efficiency and robustness in quantum circuit design. We detail the algorithm's architecture, explain the underlying mechanisms driving its performance, and present preliminary results demonstrating its effectiveness in optimizing a specific quantum circuit. This research explores the potential of dynamically adjusting quantum state parameters to overcome limitations of conventional optimization techniques.

DOI: 10.5281/zenodo.22198372

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