Identifying Gamma Radiation Anomaly Signals Using Quantum Computation Methods

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Date
7/28/2022Author
Foate, Joshua
Valdez, Luis
Alamaniotis, Miltos
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Collected data using a radiation detector to identify anomalies in the presence of naturally
occurring radioactive material. Samples of the anomaly signals were put into a Hopfield neural network to train the network to
identify whether data from the detector was an anomaly or background radiation. Converting our data into a 3SAT (3- Satisfiability) problem and use Grover's algorithm to find
the solutions for Hopfield Artificial Neural Network memory
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Electrical and Computer Engineering
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