Chaos Domain Quantum Algorithm
Jincheng Zhang
Abstract
This paper introduces a novel quantum algorithm, the Chaos Domain Quantum Algorithm (CDQA), designed to efficiently search for optimal solutions within complex systems and predict their dynamic behavior. The CDQA leverages the unique properties of chaotic domains to accelerate the identification of potential solutions, offering a significant advancement over existing optimization techniques. We present a detailed theoretical framework and preliminary experimental results demonstrating the algorithm's efficacy in a specific, challenging scenario. The core mechanism hinges on the manipulation of quantum states within a chaotic domain, allowing for the exploration of a vast solution space with enhanced computational efficiency.