Quantum Entanglement Computation: Adaptive Topology for Enhanced Robustness and Efficiency

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum entanglement is a fundamental resource in quantum computation, enabling tasks such as quantum teleportation and superposition. However, achieving reliable and efficient quantum computation is hampered by the susceptibility of entangled states to environmental noise. This paper explores the application of adaptive topology in quantum computation to mitigate these vulnerabilities. We propose a novel quantum computing framework that dynamically adjusts the topology of the quantum system to minimize noise, thereby enhancing the robustness and efficiency of entanglement calculations, particularly in the context of complex quantum states. The core mechanism leverages the inherent properties of topology to create a more resilient and controllable quantum system. This research presents a new approach to quantum entanglement computation that promises significant advancements in the field.

DOI: 10.5281/zenodo.22636611

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