Based on Chaos, Quantum Computing Algorithm Design
Jincheng Zhang
Abstract
This paper investigates the potential of incorporating chaos theory and quantum computing into algorithm design optimization for quantum computation. The core claim is that a novel algorithm framework, leveraging the unique properties of chaos, can significantly enhance the efficiency and stability of quantum computations. The research explores a method for dynamically adjusting quantum parameters based on chaotic dynamics, thereby mitigating errors and improving the likelihood of finding optimal solutions. The paper details the design of a specialized optimization loop, incorporating elements of stochasticity and sensitivity analysis, that responds to the inherent fluctuations within the quantum system. The benefits of this approach are anticipated to include increased computational speed and improved error mitigation. This work represents a significant step toward a more robust and adaptive approach to quantum algorithm design.