论文标题
可编程光子集成网格,用于模块化的光学纠缠链接
Programmable photonic integrated meshes for modular generation of optical entanglement links
论文作者
论文摘要
量子计算,通信和传感的核心是大规模生成的量子纠缠。已经提出了针对各种物理量子的远程连接量子技术的模块化体系结构,并在原子和全光子系统中报告了示范。但是,在这些体系结构中的一个开放挑战在于构建高速和高保真可重新配置的光子网络,以在目标量子位之间进行光学的纠缠。在这里,我们介绍了一个可编程光子集成电路(PIC),该电路(PIC)在压电式氮化硅(SIN) - 氧化物CMOS兼容的过程中实现,该过程实现了能够高速执行线性光学转换的N X N Mach-Zehnder网格(MZM)。可见光光谱光子集成网格被编程为一系列光学较高的纠缠协议,在最多n = 8输入上生成光学连接。特别是,我们在实验上证明了通过MZM 16个独立的成对模式耦合之间的光学连接,光转换保真度为0.991 +/- 0.0063。图片的可重构光学连通性足以生产8克资源状态,作为用于量子计算的较大拓扑群集状态的构件。我们的可编程PIC平台可实现基于网络的量子信息处理器所需的快速可扩展的光学开关技术。
Large-scale generation of quantum entanglement between individually controllable qubits is at the core of quantum computing, communications, and sensing. Modular architectures of remotely-connected quantum technologies have been proposed for a variety of physical qubits, with demonstrations reported in atomic and all-photonic systems. However, an open challenge in these architectures lies in constructing high-speed and high-fidelity reconfigurable photonic networks for optically-heralded entanglement among target qubits. Here we introduce a programmable photonic integrated circuit (PIC), realized in a piezo-actuated silicon nitride (SiN)-in-oxide CMOS-compatible process, that implements an N x N Mach-Zehnder mesh (MZM) capable of high-speed execution of linear optical transformations. The visible-spectrum photonic integrated mesh is programmed to generate optical connectivity on up to N = 8 inputs for a range of optically-heralded entanglement protocols. In particular, we experimentally demonstrated optical connections between 16 independent pairwise mode couplings through the MZM, with optical transformation fidelities averaging 0.991 +/- 0.0063. The PIC's reconfigurable optical connectivity suffices for the production of 8-qubit resource states as building blocks of larger topological cluster states for quantum computing. Our programmable PIC platform enables the fast and scalable optical switching technology necessary for network-based quantum information processors.