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拓扑信息论的量子态转移与操控

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

The pursuit of quantum computation has spurred significant advancements in quantum information theory, particularly in the realm of quantum state transfer and manipulation. Traditional approaches often rely on precise pulse control, limiting the potential for highly efficient and robust quantum operations. This paper introduces a novel framework based on topological information theory, offering a fundamentally different approach to manipulating quantum states. We propose a system where the state transfer and control are governed by topological structures, enabling precise and efficient operations through dynamic adjustments. The core mechanism involves defining transfer and manipulation rules based on the structure of the underlying topology, achieving improvements in quantum computation's efficiency. This work establishes a new paradigm for quantum state manipulation, leveraging the power of topological principles to enhance the capabilities of quantum systems.

DOI
10.5281/zenodo.22202009

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This paper presents a novel quantum state control algorithm based on topological structures, aiming to enhance the precision and control capabilities of quantum computation. Traditional quantum control methods often rely on simple pulses, while topological control offers a fundamentally different approach. We introduce a dynamic topological structure adjustment mechanism to precisely manipulate quantum states and facilitate state transitions, demonstrating significant improvements in control accuracy compared to existing techniques. The core mechanism centers on constructing and manipulating topological states, allowing for a more robust and controllable quantum system. This research explores the potential of topological approaches to revolutionize quantum information processing.
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Quantum state control is a fundamental challenge in quantum computation, requiring precise manipulation of quantum states. Traditional approaches often rely on meticulous parameter tuning, limiting the scalability and efficiency of quantum systems. This paper introduces an innovative algorithm leveraging adaptive topological structures to achieve precise state control and efficient state transfer. We propose a novel method for dynamically adjusting the encoding and manipulation of quantum states, utilizing the inherent topological properties to enforce precise control. This approach offers a significant advancement over existing techniques, promising increased control fidelity and improved computational efficiency. The core mechanism centers around the application of self-organizing topological phases, allowing for precise manipulation of quantum states through controlled topology. This work demonstrates the potential of this approach to enhance quantum computation by providing a robust and adaptable framework for state control.
This paper explores the application of dynamic topology to quantum state quantumization and manipulation, aiming to enhance the precision and efficiency of quantum computation. Traditional quantum computing relies on precise parameter adjustments, while dynamic topology offers a flexible framework for constructing and manipulating quantum states. We propose a novel method utilizing dynamic topology to precisely control and encode quantum states, ultimately leading to improved quantum calculations. The core mechanism involves dynamically adjusting the topological structure to achieve precise manipulation and enhance the fidelity of the resulting quantum states. This work introduces a new approach to quantum state manipulation with potential implications for advancing quantum computing capabilities.
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