Title: Quantum-Inspired Geometry – Embedding for Enhanced Computational Efficiency

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum-Inspired Geometry – Embedding for Enhanced Computational Efficiency Quantum mechanics, while offering profound insights, often presents significant computational challenges for simulation and analysis. Traditional methods for representing and manipulating quantum states, such as representing wave packets as geometric objects, can be computationally expensive. This research proposes a novel embedding technique that leverages advanced algorithms to dynamically adjust the embedding parameters of quantum states, thereby minimizing the computational cost of representing and analyzing quantum mechanical systems. The core mechanism involves a 'quantum embedding' algorithm that employs a feedback loop to optimize the embedding space, resulting in efficient simulation and analysis. This approach aims to overcome limitations of current embedding techniques and offer a substantial speed-up in computational processes. This paper presents a detailed exploration of this methodology, detailing the algorithm's design, performance evaluation, and potential applications within the field of quantum computation and simulation.

DOI: 10.5281/zenodo.22299690

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