三体相互作用在磁极-安德里尤斯超导量子比特系统中的研究:塌缩-复兴现象和纠缠重分配
Three-body interaction in a magnon-Andreev-superconducting qubit system: collapse-revival phenomena and entanglement redistribution
AI总结:
研究通过三体相互作用在磁极-安德里尤斯超导量子比特系统中实现量子态的塌缩-复兴现象和纠缠重分配,揭示其在探索新量子效应和混合量子平台中的潜力。
摘要:
三体相互作用对于实现超越成对物理的新型量子现象至关重要,但其实施,尤其是跨不同量子系统时,仍具挑战性。本文提出了一种混合量子架构,包括一个在YIG球体中的磁极模式、一个安德里尤斯自旋量子比特(ASQ)和一个超导量子比特(SCQ),以在单量子层面实现强三体相互作用。利用ASQ的自旋依赖超电流和电路集成灵活性,可以设计出强三体耦合,使在磁极湮灭(或ASQ退激发时激发磁极和SCQ)时同时激发两个量子比特。通过分析和数值研究,我们证明这种相互作用在磁极初始处于相干态时,会引起量子比特人口的同步塌缩和复兴。值得注意的是,在塌缩区域——即人口保持静态时,纠缠结构经历剧烈且连续的重组。我们展示真正的三体纠缠被重新分配到两个量子比特之间的双体纠缠,反之亦然,总纠缠保持不变。这些现象,无法通过双体耦合实现,凸显了三体相互作用在探索本质上新的量子效应和推进混合量子信息平台方面的潜力。
英文摘要:
Three-body interactions are fundamental for realizing novel quantum phenomena beyond pairwise physics, yet their implementation -- particularly among distinct quantum systems -- remains challenging. Here, we propose a hybrid quantum architecture comprising a magnonic mode (in a YIG sphere), an Andreev spin qubit (ASQ), and a superconducting qubit (SCQ), to realize a strong three-body interaction at the single-quantum level. Leveraging the spin-dependent supercurrent and circuit-integration flexibility of the ASQ, it is possible to engineer a strong tripartite coupling that jointly excites both qubits upon magnon annihilation (or excites magnons and SCQs upon ASQ deexcitation). Through analytical and numerical studies, we demonstrate that this interaction induces synchronized collapse and revival in qubit populations when the magnon is initially prepared in a coherent state. Notably, during the collapse region -- where populations remain static -- the entanglement structure undergoes a dramatic and continuous reorganization. We show that the genuine tripartite entanglement is redistributed into bipartite entanglement between the two qubits, and vice versa, with the total entanglement conserved. These phenomena, unattainable via two-body couplings, underscore the potential of three-body interactions for exploring intrinsically new quantum effects and advancing hybrid quantum information platforms.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。