PSAM 16 Conference Paper Overview
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Lead Author: Tarannom Parhizkar Co-author(s):
Gabriel San MartÃn. gsanmartin@g.ucla.edu
ENRIQUE LOPEZ DROGUETT eald@g.ucla.edu
| Quantum-Based Fault Tree Analysis |
|---|
| Fault tree analysis is a technique widely used in the study of the reliability of complex systems. In a fault tree, events could have two states of failure or working, that can be presented as a binary number in the quantification process. In this study, a quantum-based method is introduced to be utilized in the fault tree analysis. In the quantum-based method, instead of a binary number for presenting event states, a qubit is used that includes a coherent superposition of the binary number, i.e., a single qubit can be described by a complex linear combination of quantum states of |0> and |1>; presenting failure and working states of events, respectively. Advantages of the method include its capability for updating the qubits based on the real-time sensor data and evaluating multiple scenarios simultaneously by leveraging on quantum superposition. The updated qubits are used to calculate the failure probability of the top event accordingly. The quantum-based fault tree method could be used for real-time failure analysis of complex systems. In this study, a simple case study is presented so to explore the potential capabilities of this new quantum-based fault tree methods. |
Paper PA39 Preview
Author and Presentation Info
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