High-Order Quantum Computing Adaptive State Generation

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel algorithm for adaptive quantum state generation in high-order quantum computing. Traditional quantum algorithms often rely on pre-calculated states, limiting their flexibility and efficiency. Our proposed approach dynamically generates new quantum states based on input data and target states, significantly improving the exploration and optimization capabilities of quantum systems. The core mechanism leverages the inherent adaptability of quantum states to create a more efficient and versatile quantum computation. This advancement addresses a key limitation of existing quantum algorithms, offering a promising path towards enhanced quantum performance. We present a detailed analysis of the algorithm's design, implementation, and performance, demonstrating its potential to unlock new quantum computational possibilities.

DOI: 10.5281/zenodo.22248223

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