发表机构
Abdelmalek Essaadi University; Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) UIB-CSIC（阿卜杜勒马利克·埃萨阿迪大学; 跨学科物理与复杂系统研究所（IFISC）巴伦西亚大学-西班牙国家研究委员会）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
提出基于混合腔磁力机械系统的量子储层计算框架，利用协方差矩阵进行线性读出，在记忆与非线性处理间取得平衡，并验证了信号重建的鲁棒性，为连续变量量子计算提供新平台。
AI 中文摘要
我们提出了一种基于线性化高斯 regime 中的混合腔磁力机械系统的量子储层计算框架。该储层结合了微波腔、磁振子和机械自由度，并通过一个作为输入端口、其时变信号编码在失谐中的辅助腔进行扩展。正交涨落的协方差矩阵为训练好的线性读出提供特征。利用线性记忆、非线性记忆和奇偶校验基准，我们发现强时间记忆与更有限的非线性处理并存，其平衡由储层演化时间控制，并且我们表明模间相关性显著增强了读出可访问的信息。同一架构重建编码在辅助腔失谐中的时变信号，其精度由内部耦合与编码强度之间的相互作用决定，并且对高斯失谐噪声具有鲁棒性。考虑有限的测量统计量揭示了编码强度与协方差估计精度之间的权衡，因此最优编码取决于可用的测量预算。这些结果确立了混合腔磁力机械系统作为连续变量量子储层计算的一个有前景的平台，在信号探测方面具有潜在应用。
英文摘要
We propose a quantum reservoir computing framework based on a hybrid cavity magnomechanical system in the linearized Gaussian regime. The reservoir combines microwave-cavity, magnon, and mechanical degrees of freedom, and is extended by an auxiliary cavity acting as an input port, with time-dependent signals encoded in its detuning. The covariance matrix of the quadrature fluctuations provides the features for a trained linear readout. Using linear-memory, nonlinearmemory, and parity-check benchmarks, we find strong temporal memory together with more limited nonlinear processing, whose balance is controlled by the reservoir evolution time, and we show that intermode correlations substantially enhance the information accessible to the readout. The same architecture reconstructs a time-dependent signal encoded in the auxiliary-cavity detuning, with an accuracy governed by the interplay between the internal couplings and the encoding strength, and robust against Gaussian detuning noise. Accounting for finite measurement statistics reveals a trade-off between encoding strength and the precision of the covariance estimation, so that the optimal encoding depends on the available measurement budget. These results establish hybrid cavity magnomechanical systems as a promising platform for continuous-variable quantum reservoir computing with potential applications in signal probing.
Comments12 pages, 8 figures
