Entanglement Rate Optimization in Heterogeneous Quantum Communication
Networks
- URL: http://arxiv.org/abs/2105.14507v1
- Date: Sun, 30 May 2021 11:34:23 GMT
- Title: Entanglement Rate Optimization in Heterogeneous Quantum Communication
Networks
- Authors: Mahdi Chehimi and Walid Saad
- Abstract summary: Quantum communication networks are emerging as a promising technology that could constitute a key building block in future communication networks in the 6G era and beyond.
Recent advances led to the deployment of small- and large-scale quantum communication networks with real quantum hardware.
In quantum networks, entanglement is a key resource that allows for data transmission between different nodes.
- Score: 79.8886946157912
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum communication networks are emerging as a promising technology that
could constitute a key building block in future communication networks in the
6G era and beyond. These networks have an inherent feature of parallelism that
allows them to boost the capacity and enhance the security of communication
systems. Recent advances led to the deployment of small- and large-scale
quantum communication networks with real quantum hardware. In quantum networks,
entanglement is a key resource that allows for data transmission between
different nodes. However, to reap the benefits of entanglement and enable
efficient quantum communication, the number of generated entangled pairs must
be optimized. Indeed, if the entanglement generation rates are not optimized,
then some of these valuable resources will be discarded and lost. In this
paper, the problem of optimizing the entanglement generation rates and their
distribution over a quantum memory is studied. In particular, a quantum network
in which users have heterogeneous distances and applications is considered.
This problem is posed as a mixed integer nonlinear programming optimization
problem whose goal is to efficiently utilize the available quantum memory by
distributing the quantum entangled pairs in a way that maximizes the user
satisfaction. An interior point optimization method is used to solve the
optimization problem and extensive simulations are conducted to evaluate the
effectiveness of the proposed system. Simulation results show the key design
considerations for efficient quantum networks, and the effect of different
network parameters on the network performance.
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