Adaptive Quantum State Interference

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces an adaptive quantum state interference algorithm designed to address the limitations of traditional quantum information processing methods. The algorithm dynamically adjusts the interference matrix based on the system state, enabling more precise quantum information handling. We present a novel approach that leverages a feedback mechanism to optimize the interference pattern for specific quantum states. The core mechanism focuses on iterative refinement of the interference matrix, ensuring optimal performance across a range of input conditions. The proposed algorithm demonstrates improved accuracy and robustness compared to static interference schemes, particularly in scenarios involving dynamic system changes. This advancement holds significant implications for the design and implementation of advanced quantum algorithms.

DOI: 10.5281/zenodo.22200803

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