Quantum Entanglement for Non-linear Adaptive Computation

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum entanglement, a bizarre phenomenon in quantum mechanics, holds the potential for revolutionary computing capabilities. This paper investigates the application of quantum entanglement to non-linear adaptive computation, proposing a novel approach leveraging the inherent self-associativity of entangled states. We present a design for a quantum computation algorithm utilizing entangled qubits to achieve enhanced precision compared to conventional methods. The core mechanism centers on dynamically adjusting the entangled state to optimize the computation's output. This work explores the potential of entanglement to overcome limitations in current computing paradigms, specifically focusing on the design of a method exhibiting high accuracy through self-associativity. The study highlights the promise of this approach for tackling complex problems requiring high precision.

DOI: 10.5281/zenodo.22154461

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