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Title: Adaptive Topology of Quantum Measurement Spaces (ATQM)

Jincheng Zhang

Published Sep 6, 2026• 0 citations
Publisher

Abstract

Quantum measurement protocols are inherently complex, requiring careful consideration of the measurement space to maximize information gained. Traditional approaches often assume a fixed measurement space, limiting the potential for optimization. This paper introduces Adaptive Topology of Quantum Measurement Spaces (ATQM), a novel protocol that dynamically reshapes the quantum state based on machine learning, leading to significant improvements in information extraction from quantum measurements. This adaptive approach offers a more intelligent and flexible framework for measurement design, addressing limitations of existing protocols and opening new avenues for quantum computation.

DOI
10.5281/zenodo.22491735

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Quantum measurement protocols are inherently complex, requiring careful consideration of the measurement space to maximize information gained. Traditional approaches often assume a fixed measurement space, limiting the potential for optimization. This paper introduces Adaptive Topology of Quantum Measurement Spaces (ATQM), a novel protocol that dynamically reshapes the quantum state based on machine learning, leading to significant improvements in information extraction from quantum measurements. This adaptive approach offers a more intelligent and flexible framework for measurement design, addressing limitations of existing protocols and opening new avenues for quantum computation.
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