https://doi.org/10.1140/epjqt/s40507-023-00171-4
Research
A Bayesian-network-based quantum procedure for failure risk analysis
1
Department of Informatics Systems and Computation, Computer Science Faculty, Complutense University of Madrid, 28040, Madrid, Spain
2
Department of Computer Architecture and Automation, Computer Science Faculty, Complutense University of Madrid, 28040, Madrid, Spain
3
IBM Consulting España, 28830, Madrid, Spain
a ginescar@ucm.es, gines_carrascal@es.ibm.com
Received:
26
August
2022
Accepted:
24
April
2023
Published online:
8
May
2023
Studying the propagation of failure probabilities in interconnected systems such as electrical distribution networks is traditionally performed by means of Monte Carlo simulations. In this paper, we propose a procedure for creating a model of the system on a quantum computer using a restricted representation of Bayesian networks. We present examples of this implementation on sample models using Qiskit and test them using both quantum simulators and IBM Quantum hardware. The results show a correlation in the precision of the results when considering the number of Monte Carlo iterations alongside the sum of shots in a single quantum circuit execution.
Key words: Bayesian network / Quantum computing / Risk analysis / Resilience analysis / Reliability analysis
© The Author(s) 2023
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