The Quantum State Simulation and Entanglement Analysis via Adaptive Non-Linear Multi-Particle Models
Jincheng Zhang
Abstract
This paper explores the design of a novel adaptive non-linear multi-particle model for quantum state simulation and entanglement analysis. Traditional quantum state simulators often rely on fixed parameters, limiting their ability to accurately represent complex quantum systems. This research introduces a new approach that dynamically adjusts parameters to mimic quantum states and entanglement, achieving automatic parameter tuning and enhanced entanglement analysis. The model's core mechanism involves a self-adaptive process of parameter adjustment and quantum state simulation, resulting in improved fidelity and efficiency. This work addresses a critical gap in quantum simulation techniques by providing a robust and automated framework for these tasks.