Quantum Entanglement and Adaptive Quantum Computing: A Novel Approach

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum entanglement, a bizarre phenomenon where two or more particles become linked and share the same fate, holds immense promise for revolutionary advancements in computation. This paper explores the potential of adaptive quantum computing, a paradigm shift from static quantum algorithms, leveraging the dynamic properties of entangled qubits. We propose a new computational framework predicated on the self-adjusting nature of entangled states, aiming to enhance performance in complex problems. The core mechanism centers around designing a quantum algorithm that autonomously manipulates the entanglement to achieve optimal results. This work presents a novel approach to quantum computation, driven by the inherent potential of entangled states to adapt to problem-solving challenges. The proposed methodology offers a distinct path toward overcoming limitations of current quantum computing architectures.

DOI: 10.5281/zenodo.22253585

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