Identifying network topologies via quantum walk distributions
- URL: http://arxiv.org/abs/2301.13842v1
- Date: Tue, 31 Jan 2023 18:38:44 GMT
- Title: Identifying network topologies via quantum walk distributions
- Authors: Claudia Benedetti, and Ilaria Gianani
- Abstract summary: We use a genetic algorithm to retrieve the topology of a network from the measured probability distribution.
Our result shows that the algorithm is capable of efficiently retrieving the required information even in the presence of noise.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Control and characterization of networks is a paramount step for the
development of many quantum technologies. Even for moderate-sized networks,
this amounts to explore an extremely vast parameters space in search for the
couplings defining the network topology. Here we explore the use of a genetic
algorithm to retrieve the topology of a network from the measured probability
distribution obtained from the evolution of a continuous-time quantum walk on
the network. Our result shows that the algorithm is capable of efficiently
retrieving the required information even in the presence of noise.
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