Quantum Regression Model for the Prediction of Surface Plasmon Resonance Sensor Behaviour

2022 Workshop on Recent Advances in Photonics (WRAP)(2022)

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Abstract
In this paper, we made a pioneering effort for the first time to implement Quantum Neural Network regressor model to predict the sensing behavior of Surface plasmon resonance (SPR) sensor and compared the performance of the proposed model with two traditional algorithms namely Support Vector Regressor (SVR) and Artificial Neural Network (ANN) regressor. The proposed trained quantum regressor model...
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Key words
Regression,SPR biosensors,Photonic Quantum Neural Network,SVR,ANN
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