Quantum Machine Learning

Advised by Ying Mao

We explored the development of machine learning algorithms on quantum computers. We used the Qiskit SDK to develop a convolutional neural network to run on IBM quantum computers. Since quantum computers allow data to be encoded as a superposition of binary states, data can be encoded much more optimally than with classical computing architecture. We leveraged this to create more powerful and more efficient machine learning systems.