NSF Awards $2M For Research on Quantum Machine Learning With Photonics

Full-scale quantum computers that would rely on conventional gate-based quantum computer architectures require quantum error correction--a goal outside the reach of existing technology. In this project, the researchers will focus on architectures inspired by machine learning and deep learning to implement quantum protocols that are naturally efficient and robust against noise. The project will leverage quantum photonics, based on manipulation of quantum states of light, to develop these quantum machine learning architectures.