Towards a General Framework for Practical Quantum Network Protocols

• URL: http://arxiv.org/abs/2412.20472v1
• Date: Sun, 29 Dec 2024 14:20:59 GMT
• Title: Towards a General Framework for Practical Quantum Network Protocols
• Authors: Sumeet Khatri,
• Abstract summary: The main contribution of this thesis is a mathematical framework for entanglement distribution protocols in a quantum network. We present ground- and satellite-based quantum network architectures that incorporate practical aspects of entanglement distribution.
• Score: 0.9065034043031668
• License:
• Abstract: The quantum internet is one of the frontiers of quantum information science. It will revolutionize the way we communicate and do other tasks, and it will allow for tasks that are not possible using the current, classical internet. The backbone of a quantum internet is entanglement distributed globally in order to allow for such novel applications to be performed over long distances. Experimental progress is currently being made to realize quantum networks on a small scale, but much theoretical work is still needed in order to understand how best to distribute entanglement and to guide the realization of large-scale quantum networks, and eventually the quantum internet, especially with the limitations of near-term quantum technologies. This work provides an initial step towards this goal. The main contribution of this thesis is a mathematical framework for entanglement distribution protocols in a quantum network, which allows for discovering optimal protocols using reinforcement learning. We start with a general development of quantum decision processes, which is the theoretical backdrop of reinforcement learning. Then, we define the general task of entanglement distribution in a quantum network, and we present ground- and satellite-based quantum network architectures that incorporate practical aspects of entanglement distribution. We combine the theory of decision processes and the practical quantum network architectures into an overall entanglement distribution protocol. We also define practical figures of merit to evaluate entanglement distribution protocols, which help to guide experimental implementations.

Related papers

• Leveraging Internet Principles to Build a Quantum Network [8.597828500002242]
  We propose a best-effort quantum network architecture based on packet-switching, akin to that of the classical Internet. As an illustration, we tailor and adapt classical congestion control and active queue management protocols to quantum networks. Results show that these classical networking tools can be effectively used to combat quantum memory decoherence and keep end-to-end fidelity around a target value.
  arXiv  Detail & Related papers  (2024-10-11T16:55:10Z)
• Practical limitations on robustness and scalability of quantum Internet [0.7499722271664144]
  We study the limitations on the scaling and robustness of quantum Internet. We present practical bottlenecks for secure communication, delegated computing, and resource distribution among end nodes. For some examples of quantum networks, we present algorithms to perform different quantum network tasks of interest.
  arXiv  Detail & Related papers  (2023-08-24T12:32:48Z)
• Entanglement-Assisted Quantum Networks: Mechanics, Enabling Technologies, Challenges, and Research Directions [66.27337498864556]
  This paper presents a comprehensive survey of entanglement-assisted quantum networks. It provides a detailed overview of the network structure, working principles, and development stages. It also emphasizes open research directions, including architecture design, entanglement-based network issues, and standardization.
  arXiv  Detail & Related papers  (2023-07-24T02:48:22Z)
• Quantum Internet: The Future of Internetworking [16.313110394211154]
  The purpose of a quantum Internet is to enable applications that are fundamentally out of reach for the classical Internet. This chapter aims to present the main concepts, challenges, and opportunities for research in quantum information, quantum computing and quantum networking.
  arXiv  Detail & Related papers  (2023-04-30T23:17:47Z)
• Quantum NETwork: from theory to practice [9.506954148435801]
  We aim to provide an up-to-date review of the field of quantum networks from both theoretical and experimental perspectives. We introduce a newly developed quantum network toolkit to facilitate the exploration and evaluation of innovative ideas.
  arXiv  Detail & Related papers  (2022-12-02T15:05:25Z)
• DQC$^2$O: Distributed Quantum Computing for Collaborative Optimization in Future Networks [54.03701670739067]
  We propose an adaptive distributed quantum computing approach to manage quantum computers and quantum channels for solving optimization tasks in future networks. Based on the proposed approach, we discuss the potential applications for collaborative optimization in future networks, such as smart grid management, IoT cooperation, and UAV trajectory planning.
  arXiv  Detail & Related papers  (2022-09-16T02:44:52Z)
• On the design and analysis of near-term quantum network protocols using Markov decision processes [0.9065034043031668]
  Theory of near-term quantum networks based on Markov decision processes (MDPs) MDPs provide a precise and systematic mathematical framework to model protocols for near-term quantum networks. New results show that the well-known memory-cutoff policy is optimal.
  arXiv  Detail & Related papers  (2022-07-07T16:18:59Z)
• On exploring the potential of quantum auto-encoder for learning quantum systems [60.909817434753315]
  We devise three effective QAE-based learning protocols to address three classically computational hard learning problems. Our work sheds new light on developing advanced quantum learning algorithms to accomplish hard quantum physics and quantum information processing tasks.
  arXiv  Detail & Related papers  (2021-06-29T14:01:40Z)
• Quantum Federated Learning with Quantum Data [87.49715898878858]
  Quantum machine learning (QML) has emerged as a promising field that leans on the developments in quantum computing to explore large complex machine learning problems. This paper proposes the first fully quantum federated learning framework that can operate over quantum data and, thus, share the learning of quantum circuit parameters in a decentralized manner.
  arXiv  Detail & Related papers  (2021-05-30T12:19:27Z)
• SeQUeNCe: A Customizable Discrete-Event Simulator of Quantum Networks [53.56179714852967]
  This work develops SeQUeNCe, a comprehensive, customizable quantum network simulator. We implement a comprehensive suite of network protocols and demonstrate the use of SeQUeNCe by simulating a photonic quantum network with nine routers equipped with quantum memories. We are releasing SeQUeNCe as an open source tool and aim to generate community interest in extending it.
  arXiv  Detail & Related papers  (2020-09-25T01:52:15Z)
• Genuine quantum networks: superposed tasks and addressing [68.8204255655161]
  We show how to make quantum networks, both standard and entanglement-based, genuine quantum. We provide them with the possibility of handling superposed tasks and superposed addressing.
  arXiv  Detail & Related papers  (2020-04-30T18:00:06Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.