Quantum Topology Optimization via Adaptive Quantum Potential

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum topology, a rapidly developing field of quantum physics, offers a unique approach to computation by leveraging the inherent properties of spacetime. This paper explores the potential of quantum topology to optimize quantum algorithms, specifically focusing on the design of algorithms that can dynamically adjust quantum potentials. We introduce a novel optimization algorithm based on this principle, which utilizes a self-adaptive quantum potential function to improve the performance of quantum systems. The core mechanism of this algorithm relies on analyzing the system's response to variations in the quantum potential, allowing for automated parameter adjustment and ultimately, enhanced computational efficiency. We present preliminary results demonstrating the effectiveness of this approach in optimizing a specific quantum circuit, highlighting its potential for revolutionizing quantum algorithm design and computation.

DOI: 10.5281/zenodo.22196327

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