Mountain View High SchoolClass of 2023Mountain View, CALIFORNIA
AboutHi! I'm Milind and my project is on applying Quantum Machine Learning to Image Classification. I chose this project because I wanted to learn more about the cutting-edge field of Quantum Computing. After this project is complete, I would like to continue doing more research in Quantum Machine Learning, with more advanced applications.
- "Quantum Machine Learning for Image Classification" with mentor Ina (Sept. 8, 2022)
Quantum Machine Learning for Image Classification
Started Apr. 7, 2022
Abstract or project description
From self-driving cars to medical diagnoses, machine learning (ML) has revolutionized our world in the last few decades. Additionally, Quantum Computing has considerable promise for the future, with superposition and entanglement making quantum algorithms much more efficient and effective than their classical counterparts. Quantum ML aims to apply these quantum principles to the groundbreaking field of ML, such as for image classification. Convolutional Neural Networks (CNNs) are very effective for classification, so we study a Quantum Convolutional Neural Network (QCNN) that is trained to distinguish between handwritten numbers in the MNIST dataset and compared to a similar-sized classical network. After tuning the QCNN and quantum encoding, the QCNN achieved comparable accuracy to the classical network.