使用变分量子算法模拟双核量子电池中的功提取过程
Simulating Work Extraction in a Dinuclear Quantum Battery Using a Variational Quantum Algorithm
AI总结：
本研究将变分量子算法用于双核量子电池的功提取模拟，验证了算法可复现实验关键趋势，同时揭示噪声环境及室温条件会限制协议精度与实用性，为近期量子电池的可行性提供了参考。
摘要：
理解量子系统的热力学性质对于开发高能效量子技术至关重要。在此背景下，本研究探索了量子计算方法在双核量子电池模型中量子性质及功提取过程研究里的应用。我们的结果表明，变分量子算法能够复现实验数据中的关键趋势，从而可用于分析所提协议在噪声环境中的有效性，并为近期设备中量子电池的可行性提供见解。研究发现，噪声环境的存在会降低系统存储能量评估的准确性。此外，我们分析了功提取的精度，结果显示尽管系统可在室温下存储能量，但该协议仅在低温下具备高精度，其在环境条件下的准确性仍然有限，这会削弱其实用性。
英文摘要：
Understanding the thermodynamic properties of quantum systems is essential for developing energy-efficient quantum technologies. In this regard, this work explores the application of quantum computational methods to study the quantum properties and work extraction processes in a dinuclear quantum battery model. Our results demonstrate that variational quantum algorithms can reproduce key trends in experimental data, making it possible to analyze the effectiveness of the presented protocol in noisy environments and providing insights into the feasibility of quantum batteries in near-term devices. We have shown that the presence of a noisy environment hinders the accuracy of the evaluation of the amount of energy stored in the system. Additionally, we analyze the work extraction precision, revealing that although the system can store energy at room temperature, the protocol is highly precise only at low temperatures, and its accuracy at ambient conditions remains limited, compromising its usability.
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