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Non-Euclidean Vector Space for Quantum State Space Exploration

Jincheng Zhang

Published Sep 5, 2026• 0 citations
Publisher

Abstract

Quantum state space exploration presents a significant challenge in quantum information science due to the inherent complexity of quantum states. Traditional methods often struggle with the vastness of these spaces, hindering efficient search and analysis. This paper introduces a novel framework for exploring quantum state spaces leveraging non-Euclidean vector spaces, aiming to dramatically improve search efficiency and enable the investigation of complex quantum states. We propose a geometric approach to represent and navigate the state space, utilizing differential geometry to achieve a more efficient and scalable exploration process. This work addresses the limitations of current techniques by providing a fundamentally different perspective on state space representation and navigation. The core mechanism centers around constructing a geometric model of the state space, allowing for the efficient application of techniques from differential geometry to optimize search operations. We demonstrate the effectiveness of this framework through a series of theoretical analyses and preliminary experiments, showcasing significant improvements in search performance compared to existing methods.

DOI
10.5281/zenodo.22327003

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Quantum state space description is a fundamental concept in quantum mechanics, but its application to practical algorithms is limited by the inherent geometric constraints of the Hilbert space. This paper explores a novel approach to quantum state space representation, leveraging non-Euclidean geometry to provide a geometrically-aligned framework for quantum algorithms. We propose a method for constructing quantum states and performing computations that directly reflects the properties of a non-Euclidean space, potentially unlocking new algorithmic possibilities. The core mechanism centers around establishing a mapping between quantum states and geometric primitives, allowing for the creation of algorithms that are inherently more robust and adaptable to non-Euclidean geometries. This work introduces a new methodology for quantum state representation and computation, aiming to overcome the limitations of traditional geometric approaches and facilitate the development of fundamentally new quantum algorithms.
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This paper explores a novel quantum state collapse algorithm predicated on the principles of non-Euclidean space. Traditional collapse mechanisms, while effective, often restrict the search space for potential solutions, limiting the exploration of quantum states. We propose a fundamentally different approach – utilizing a non-Euclidean representation of the quantum state – to significantly expand the range of possible solutions and increase the computational efficiency of state collapse. This investigation centers around a mechanism that allows the algorithm to navigate and manipulate states within a potentially higher-dimensional space, offering a pathway to explore a broader range of quantum configurations than conventional methods. The core claim is that this novel algorithm, leveraging non-Euclidean space, will dramatically enhance the capability of quantum state collapse.
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