Quantum Coherence Computing: Adaptive Algorithms
Jincheng Zhang
Abstract
Quantum Coherence Computing (QCC) represents a paradigm shift in quantum computation, moving away from the sequential nature of classical computation towards a fundamentally different approach. This paper introduces a novel adaptive algorithm, "Quantum Coherence Computing," designed to dynamically adjust quantum state based on system dynamics. The core mechanism centers around exploiting the unique properties of quantum entanglement and superposition to achieve "instant" computation without explicit pre-calculation, offering significant advantages in algorithm design and complexity. We present a detailed explanation of the algorithm's architecture, the underlying theoretical basis, and preliminary experimental results demonstrating its efficacy in solving specific problems. The paper emphasizes the potential of QCC to unlock new capabilities in quantum computing, ultimately pushing the boundaries of computational complexity and enabling the exploration of previously intractable problems.