Based on Dynamic Graphs of Quantum Computation Topology

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computation, a revolutionary field of science and engineering, has been grappling with the challenge of efficiently simulating complex quantum systems. Traditional approaches often suffer from computational bottlenecks, limiting the size and complexity of the problems that can be tackled. Dynamic graph topology offers a promising alternative, enabling the representation and manipulation of quantum states in a more flexible and expressive manner. This paper investigates the application of dynamic graph topology to quantum computation, focusing on its potential to accelerate the calculation of intricate geometric structures and enhance the overall efficiency of quantum algorithms. We explore the fundamental principles of this approach, detailing the mechanisms behind its utility and outlining the initial results achieved through simulations. The core claim centers on the utilization of dynamic graph topology for optimizing quantum state evolution and achieving more effective geometric calculations. This research provides a novel framework for tackling problems requiring the complex manipulation of quantum states, ultimately contributing to advancements in both quantum algorithm design and computational capabilities.

DOI: 10.5281/zenodo.22188987

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