AI 中文总结
本研究提出基于金刚石光子集成锡空位中心的全栈高容量量子网络架构，通过多物理场数字孪生等技术实现GHz级频谱调谐等关键突破，模拟显示千个发射器可实现99.96%连通性以达成分布式量子纠缠。
AI 中文摘要
固态量子发射器是带存储节点的光子量子网络的领先平台。然而，量子发射器的不均匀分布以及应变、电场等多种环境因素会展大量子比特的频谱，使它们可区分，因此无法成为分布式量子纠缠的可靠资源。本文展示了一种全栈方法，将几乎不可区分的锡空位（SnV⁻）量子发射器集成在频率可调的光子中介层上，克服了量子发射器的固有分布和静态变化，构建出不可区分的光子量子网络平台。我们展示了一种绝缘衬底上氮化硅光子集成电路（PIC），并配套多物理场数字孪生（MPhDT），用于发现SnV⁻的应变调谐参数，并指导构建多通道量子中继节点。在该节点上，我们首次同时实现了零声子线（ZPL）的GHz级频谱调谐、门时间<80ns的相干电子自旋控制、强耦合与弱耦合核自旋检测，以及商用光纤阵列耦合的SnV⁻中心读出。最后，我们提出并模拟了架构改进方案，实现了分布在应变金刚石中不均匀SnV⁻中心上的N≈1000个发射器的99.96%连通性，有望实现分布式量子纠缠。
英文摘要
Solid state quantum emitters are a leading platform for photonic quantum networking with memory nodes. However, the inhomogeneous distribution of quantum emitters, as well as several environmental factors (i.e. strain and electric fields) spread the frequency spectrum of the qubits, making them distinguishable and therefore not a reliable resource for distributed quantum entanglement. In this paper, we demonstrate a full-stack approach to integrating nearly indistinguishable tin vacancy (SnV$^-$) quantum emitters on a frequency-tunable photonic interposer that overcomes the native distribution and static variation of quantum emitters for an indistinguishable photonic quantum networking platform. We demonstrate a silicon nitride-on-insulator photonic integrated circuit (PIC) with accompanying multiphysics digital twin (MPhDT) that guides discovery of SnV$^-$ strain-tuning parameters and informs construction of a multi-channel quantum repeater node. On this node, we achieve the first simultaneous demonstration of spectral tuning of the zero phonon line (ZPL) at GHz scale; coherent electron spin control with gate times of $<80$ ns; strongly- and weakly-coupled nuclear spin detection; and commercial fiber array-coupled readout of a SnV$^-$ center. Finally, we propose and simulate improvements to the architecture that achieve 99.96% connectivity of $ N \sim 1000$ emitters spanning the inhomogeneous distribution of SnV$^-$ centers in strained diamond, where distributed quantum entanglement may be realized.
CommentsHamza Raniwala, Ian Christen, Helaman Flores contributed equally to this work
