His notable works include the proposal of a quantum data center, an architecture combining Quantum Random Access Memory (QRAM) and quantum networks. In this work Dr. Liu and his collaborators give a precise definition of QDC, and discuss its possible realizations and extensions. This foundational work is expected to define what future quantum data centers may look like and will have applications in quantum computation, quantum communication, and quantum sensing. His work on Quantum Neural Tangent Kernels has greatly contributed to the field of Quantum Machine Learning. Predicting how well a quantum machine learning model will perform for given learning or optimization tasks is unclear. With QNTK, Dr. Liu presented dynamical equations that allow scientists to estimate how well a QML model will perform.