基于物质记忆理论的数据提纯范式与量子噪声分类新框架
Futao Zhao
Abstract
One of the core challenges in quantum sensing and quantum computing is understanding and suppressing decoherence noise. Traditional noise models primarily focus on environmental parameters such as temperature, magnetic field, and charge density, yet they struggle to explain the systematic differences in noise intensity across diverse material systems. This paper is based on Fu-Tao Zhao’s theory of material memory.