自适应量子态的模拟与计算

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel method for quantum state simulation and computation, termed "Adaptive Quantum State Simulation and Computation" (AQSCC). AQSCC leverages the unique properties of quantum states to achieve significantly enhanced precision and efficiency in quantum state representation and manipulation. We introduce a dynamic adjustment mechanism that continuously adapts the simulation parameters based on the observed quantum state evolution, mitigating computational bottlenecks and improving the accuracy of results. The core mechanism revolves around a feedback loop that optimizes the simulation process by dynamically adjusting the underlying quantum state representation. This approach promises substantial improvements in quantum computing performance, particularly for complex quantum algorithms requiring high fidelity. The paper details the architecture of AQSCC, discusses its performance evaluation against existing methods, and presents preliminary results demonstrating substantial gains in simulation accuracy and computational speed. Finally, we explore potential future directions and applications of this technique.

DOI: 10.5281/zenodo.22195623

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