Non-Locality Quantum Computing Adaptive Calibration

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computing offers unprecedented computational power but faces significant challenges stemming from its inherent non-locality. This paper introduces a novel adaptive calibration technique for non-local quantum computing, designed to mitigate these challenges and enable broader application of quantum algorithms. We propose a dynamic adjustment strategy for entanglement parameters based on real-time quantum system dynamics. This approach contrasts with traditional calibration methods that rely on static parameter sets, leading to improved stability and enhanced performance. The core mechanism of this adaptive calibration leverages feedback loops to continuously optimize the quantum system's state, resulting in a more robust and versatile quantum computation platform. The study demonstrates the effectiveness of this method through simulations and preliminary experimental results, showcasing a significant reduction in entanglement loss and improved error mitigation. The findings highlight the potential of this approach to unlock new possibilities within the field of quantum computing.

DOI: 10.5281/zenodo.22202968

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