基于自适应的量子拓扑的计算范式

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computation, leveraging the bizarre and potentially powerful properties of quantum mechanics, holds the promise of solving problems intractable for classical computers. However, building stable and scalable quantum computers faces significant challenges, particularly in controlling and manipulating qubits. This paper explores a novel computational paradigm – a "based on adaptive quantum topology" (BAQT) framework – that dynamically adjusts the computational process based on the system's state, offering a potential pathway towards enhanced efficiency and robustness. We introduce a mathematical model describing the BAQT framework and demonstrate its efficacy through a series of theoretical analysis and simulations. The core mechanism involves the manipulation of quantum states through the application of topological constraints, enabling a fundamentally different approach to quantum computation. We present a preliminary implementation of the BAQT framework and discuss its implications for future research and development in quantum computing.

DOI: 10.5281/zenodo.22184329

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