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INQNET Seminar

Monday, December 13, 2021
11:30am to 12:30pm
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Online Event
Optimal policies for near-term quantum networks
Dr. Sumeet Khatri, Freie Universit├Ąt Berlin,

Abstract

Distributing entanglement over long distances is one of the central tasks in quantum networks. An important problem, especially for near-term quantum networks, is to develop optimal entanglement distribution protocols that take into account the limitations of current and near-term hardware, such as quantum memories with limited coherence time. In this talk, I discuss how the framework of Markov decision processes can be used to address this problem. First, using this framework, I show how to obtain optimal policies for elementary links in the short-term and long-term limits. I then extend these considerations to chains of quantum repeaters. I show that the framework of Markov decision processes provides a systematic way of determining policies that are optimal (in terms of figures of merit such as fidelity and waiting time), and I also show that it can be used to address other important considerations in near-term quantum networks, such as policies that take local or global knowledge of the network into account.

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https://caltech.zoom.us/j/9330458

INQNET (INtelligent Quantum NEtworks & Technologies, inqnet.caltech.edu) is a research program that aims to bring together academia, national laboratories, and industry to advance quantum science and technology and address relevant fundamental questions in physics.

For more information, please contact Nikolai Lauk by email at [email protected].