Abstract Quantum computing hardware development has significantly outpaced the discovery of universally applicable quantum algorithms, leaving a substantial gap in practical usability. Inspired by the probabilistic autoregressive processes in Large Language Models (LLMs), this paper proposes a novel “Living Quantum Kernel” (LQK) framework that systematically treats quantum measurement noise as a valuable source of structured Continue reading