Quantum Seminar - New Era of Quantum Machine Learning

Abstract:  Quantum computing technology takes advantage of the unique properties of quantum states to perform calculations. Quantum machine learning integrates quantum technology to machine learning, which promises to tackle persistent challenges such as the lack of labeled training data, and the limit of computational power. Quantum machine learning is also naturally better at recognizing underlying quantum data patterns. As the world is intrinsically quantum, this sheds lights on many fields of science and engineering.  

In this talk, I will present two key findings from my recent works. First, I showcase a general protocol for systematically designing machine learning algorithms that provide quantum speed-ups for classical learning tasks. Second, I propose a new quantum information quantity, the quantum cross entropy. I will exhibit its significance in quantum data compression, quantum communication, and quantum machine learning. I will conclude with my long-term vision for quantum machine learning from a multi-angle approach that combines quantum data structures, quantum algorithms, and quantum operating systems.