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A Bayesian-network-based quantum procedure for failure risk analysis
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DOI：10.1140/epjqt/s40507-023-00171-4.png)
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Abstract
En 中文
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.
Keywords:
Bayesian network
Quantum computing
Risk analysis
Resilience analysis
Reliability analysis
Journal
IF:
5.6
Papers:
529
Citations:
1.1K