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Non-Adaptive Control of Asymmetric Quantum Computation

Jincheng Zhang

Published Aug 29, 2026• 0 citations
Publisher

Abstract

This paper investigates the potential of adaptive control techniques for asymmetric quantum computation. Asymmetric quantum computation, leveraging the inherent differences in qubit properties, presents a promising approach to enhance computational efficiency. However, the precise control required for these computations is notoriously challenging. This work proposes a framework where quantum measurement outcomes are continuously fed back to dynamically adjust the parameters of the quantum circuit. This adaptive control mechanism aims to mitigate the control complexity and, consequently, improve both the efficiency and accuracy of the computation. The core claim is that adaptive control significantly elevates the performance of asymmetric quantum computation. The proposed method addresses a critical bottleneck in this field – the difficulty in achieving precise control – thereby opening avenues for more robust and effective quantum algorithms. We present a theoretical model outlining this process, focusing on the feedback loop and its impact on the overall computational outcome. The theoretical analysis demonstrates the potential for improved resource utilization and reduced error rates.

DOI
10.5281/zenodo.22158093

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This paper presents a novel adaptive quantum control algorithm incorporating a feedback mechanism to enhance the robustness and precision of quantum system manipulation. The core claim is to design an algorithm that dynamically adjusts control signals based on real-time feedback from the quantum system's state. The proposed mechanism leverages quantum measurements and optimization algorithms to continuously refine control parameters. This approach addresses limitations inherent in traditional quantum control methods by mitigating the effects of noise and uncertainty, ultimately leading to improved control accuracy. The algorithm's architecture and theoretical framework are thoroughly outlined, demonstrating its potential for achieving highly accurate control over complex quantum systems. The implementation details and performance analysis provide a strong foundation for future research and development in adaptive quantum control.
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