Nonlinear Quantum Potential Simulation: An Adaptive Approach
Jincheng Zhang
Abstract
This paper introduces a novel self-adaptive simulation method for quantum systems, leveraging the principles of non-linear quantum potentials. Traditional simulation techniques often rely on fixed parameter sets, limiting their ability to accurately represent complex quantum systems. Our approach dynamically adjusts simulation parameters based on the system's intrinsic characteristics, resulting in enhanced simulation accuracy and flexibility. The core mechanism centers on integrating the quantum potential concept with a simulation framework, enabling automated parameter tuning for optimal representation. This development addresses limitations of existing methods, offering a more robust and adaptable strategy for simulating a wide range of quantum phenomena. We present a framework demonstrating the effectiveness of this technique through illustrative examples, showcasing improved simulation fidelity compared to conventional methods.