Dynamic Quantum Entanglement: Adaptive Computation

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum entanglement is a fundamental phenomenon in quantum mechanics, exhibiting correlations between distant particles that defy classical intuition. Its inherent fragility makes it challenging to utilize for complex computations. This paper explores the application of dynamic quantum entanglement to adaptive computation, offering a novel approach to tackling problems requiring intricate and evolving quantum states. We propose a method that leverages the self-correlation of entangled states to dynamically adjust the state of the entanglement, enabling computations that respond to changes in the system's environment. The core claim is that a dynamically adjusted entanglement can facilitate more efficient and robust solutions for specific computational tasks. The investigation incorporates a conceptual framework, detailed mathematical models, and preliminary experimental results demonstrating the potential of this approach. This research addresses a significant challenge in quantum computing – the need for computational flexibility – by introducing a new mechanism for manipulating entanglement.

DOI: 10.5281/zenodo.22155109

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