Adaptive Quantum Field Calibration via Dynamic Resonance Tuning

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum field calibration is a crucial aspect of quantum computing, ensuring precise control and stability. Traditional calibration methods are often static, failing to adapt to varying environments or device imperfections. This paper proposes a novel adaptive system for quantum field calibration, leveraging a dynamic resonance tuning algorithm. The system employs a continuous feedback loop to minimize errors by meticulously adjusting parameters based on real-time field response analysis. The core mechanism involves an algorithm that optimizes field resonance to maintain a desired accuracy level. This work addresses the limitations of current calibration techniques, offering a continuous, adaptive approach with the potential for significant improvements in quantum device performance.

DOI: 10.5281/zenodo.22186966

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