Quantum-Classical Interface - Dynamic Parameter Adjustment

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel system for dynamically adjusting the parameters of a quantum-classical hybrid computation, focusing on optimizing both accuracy and computational cost. We propose a gradient-based optimization algorithm to systematically explore the parameter space, effectively balancing these two key factors. The system's adaptability allows for tailored computations across a broad range of problems, offering a significant advancement over traditional fixed parameter approaches. This research addresses a critical challenge in hybrid quantum computing – the need for flexible and efficient parameter control – with a practical and mathematically grounded solution.

DOI: 10.5281/zenodo.22299713

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