Core Claim: Design a quantum state transfer algorithm based on geometric structures, leveraging geometric structures to optimize the transfer process, thereby improving quantum state computational efficiency.

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum state transfer is a fundamental challenge in quantum computing, demanding efficient and robust methods for navigating complex quantum states. This paper investigates a novel quantum state transfer algorithm centered around geometric structuring. We introduce a new approach that dynamically manipulates quantum states using geometric transformations, aiming to significantly reduce the computational cost associated with state transfer. The core mechanism involves strategically applying geometric transformations that guide the state transfer, optimizing the transition process and ultimately enhancing the overall performance of quantum computation. This research explores the potential of geometric structuring as a tool for simplifying and accelerating state transfer, offering a promising pathway towards more efficient quantum algorithms. The investigation focuses on demonstrating the effectiveness of this algorithm through mathematical analysis and simulation, highlighting its advantages in terms of computational complexity and state fidelity. The results demonstrate a substantial improvement in transfer efficiency compared to existing state transfer methods, showcasing the potential of this geometric approach to revolutionize quantum state manipulation.

DOI: 10.5281/zenodo.22204940

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