Quantum Adaptive Spacetime Geometry
Jincheng Zhang
Abstract
This paper explores the potential of quantum self-adaptive spacetime geometry – a novel computational framework leveraging quantum entanglement to dynamically adjust spacetime parameters and enable precise spacetime modeling. Traditional approaches to spacetime simulation rely on manually designed geometries, limiting their adaptability. We propose a mechanism that dynamically adjusts spacetime geometry based on learned data and environmental information, automating the process through a specialized spacetime geometry calculation algorithm. The core claim is that this framework offers a significant advancement in spacetime simulation, enabling more accurate and flexible modeling compared to conventional methods. This work introduces a dynamic spacetime geometry parameter adjustment system, demonstrating its potential for enhanced simulation fidelity and computational efficiency.