Quantum State Adaptive Mapping and Quantum Circuit Design

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum state adaptive mapping is a promising approach for enhancing quantum computation, offering the potential for increased efficiency and robustness. This paper investigates the application of adaptive mapping to quantum circuit design, aiming to achieve superior performance compared to conventional methods. We propose a novel mapping technique that dynamically adjusts the parameters of quantum circuits based on the observed quantum state, thereby optimizing circuit behavior. The core mechanism centers on leveraging the inherent adaptability of quantum states to automatically tailor the circuit's structure. This research explores the implications of this approach on various quantum algorithms and quantizes the theoretical framework for demonstration. The resulting design demonstrates improved performance in a specific quantum circuit, highlighting the potential of adaptive mapping as a key innovation in quantum computing.

DOI: 10.5281/zenodo.22442462

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