Quantum State Adaptive Representation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum state representation based on quantum state adaptation. Traditional methods rely on manual parameter adjustment, while adaptive methods dynamically adjust parameters to optimize representation. We propose a method leveraging the inherent self-adaptivity of quantum states to achieve enhanced expressiveness and representational capabilities. The core mechanism involves designing a quantum state representation that reacts to the input data, adjusting its parameters in real-time to maximize the system's ability to represent complex quantum states. This work explores the potential of this approach to overcome limitations of existing methods and offers a promising path toward more robust and adaptable quantum state representation. The paper concludes with a discussion of the potential applications and future research directions.

DOI: 10.5281/zenodo.22199242

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