Self-Adaptive Quantum State Computation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel self-adaptive quantum state computation paradigm designed to enhance quantum multi-body calculations. Traditional approaches often focus on static state representations, limiting the system's complexity and computational efficiency. Our work proposes a dynamic adjustment mechanism within the quantum state, enabling the simulation and optimization of intricate quantum systems. We demonstrate the efficacy of this approach through a series of simulations, highlighting its potential to significantly improve computational speed and accuracy compared to existing methods. The core mechanism centers on dynamically adjusting the quantum state to achieve complex system behavior and, ultimately, reduce computational costs. This research offers a fundamentally new perspective on quantum multi-body calculations, paving the way for more efficient and powerful simulations.

DOI: 10.5281/zenodo.22184292

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