Quantum State Adaptive Metric

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper proposes a novel Quantum State Adaptive Metric (QSAM) designed to enhance the robustness of algorithms by dynamically adjusting them in response to environmental changes. Quantum states, traditionally viewed as static properties, offer a powerful mechanism for self-adaptation, allowing the metric to continuously re-evaluate performance and adjust parameters. We introduce a system of quantum state transformations and analysis, leveraging the inherent dynamism of quantum systems to provide a robust and adaptive assessment of algorithm performance. The core mechanism centers around quantifying and monitoring the evolution of a quantum state, enabling automated parameter adjustments to maintain optimal performance across varying conditions. This paper explores the potential of QSAM for improving the resilience of various algorithms, particularly those operating in dynamic environments.

DOI: 10.5281/zenodo.22203927

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