Quantum State Entropy Modeling

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum state entropy, a fundamental concept in quantum mechanics, describes the uncertainty associated with a system's state. Modeling this entropy is critical for understanding and controlling quantum systems, particularly in the context of quantum computation. This paper investigates a novel approach to quantum state entropy modeling utilizing the non-linear properties of quantum states. We propose a dynamic parameter adjustment strategy, leveraging quantum entanglement and quantum key distribution, to optimize quantum computation's performance. The core claim is that this method offers a significant advancement over existing entropy models, capable of dynamically adjusting quantum states to enhance computational efficiency. This work explores the potential of this approach through theoretical analysis and preliminary simulations.

DOI: 10.5281/zenodo.22193919

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