Скачать или смотреть Scalable Quantum Network

Dr. Hyeongrak Choi (Chuck), Massachusetts Institute of Technology

ABSTRACT: Quantum networks (QNs) provide a solution to the challenge of transmitting quantum states across space, time, and physical modalities in the field of quantum information science and technology. These networks establish entanglement between remote quantum memories via optical channels, enabling various applications such as communication, resource sharing, blind quantum computing, and distributed sensing. In this talk, we address the central research goal of developing architectures and algorithms for entanglement generation and routing in QNs.

The first part of the talk focuses on the theoretical formalism and study of remote entanglement protocols. We introduce a modular theoretical framework that categorizes existing schemes for photon-mediated entanglement generation between single quantum memories in atomic or solid-state systems. This framework allows for the combination of different elements, facilitating the design of innovative entanglement generation protocols. Additionally, we present an open-source numerical simulation tool that assists in evaluating these protocols under specific experimental parameters.

Moving on to the second part of the talk, we delve into the crucial aspect of entanglement routing in QNs. We propose a quantum tree network as an efficient architecture for hierarchical multi-flow entanglement routing. These networks are scalable with the number of network users and utilize error-corrected routers at internal nodes, resulting in a low overhead. We analyze the scaling properties of this architecture to demonstrate its ability to handle growing networks while maintaining efficient resource utilization. Notably, the routing scheme eliminates the need for time-consuming multipath-finding algorithms, meeting the requirements for scalable quantum networks.

By addressing both the theoretical foundations and practical implementations of entanglement generation and routing in QNs, we aim to harness the full potential of QNs in quantum applications. These advancements bring us closer to realizing the seamless transmission of quantum information in diverse settings, driving the progress of quantum information science and technology.