Quantum Entanglement-Based Adaptive Computation Framework

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum entanglement, a peculiar quantum phenomenon, presents a potentially transformative paradigm shift for computation. This paper proposes a novel quantum computation framework predicated on the utilization of entangled states to enable rapid state transformations and accelerated execution of quantum algorithms. We detail the design of a self-adaptive quantum circuit architecture, leveraging entanglement's instantaneous correlation to facilitate quantum state manipulation and optimization. This approach offers a compelling path toward overcoming the limitations of current quantum computing approaches, particularly in the areas of quantum machine learning and quantum chemistry. The core mechanism centers around creating a dynamically adjusted quantum circuit, guided by entanglement, which allows for faster execution of complex calculations. This work explores the potential of this framework to dramatically enhance the efficiency and capabilities of quantum computations.

DOI: 10.5281/zenodo.22264286

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