Murphy Niu
Assistant Professor
Stansbury Chair of Computer Science
Contact
Early CAREER Award, National Science Foundation
Research
Niu investigates how to scale up quantum-computing systems and how to use machine learning with and for quantum computers. Her work focuses on intelligent quantum control optimization and metrology, quantum machine learning, quantum algorithm design and near-term quantum error correction. Niu applies cutting-edge deep reinforcement learning and generative models to quantum control, quantum circuit compilation, and quantum-system learning using some of the largest quantum computers based on superconducting qubits.
Google Quantum AI; University of Maryland Institute for Advanced Computer Studies
PhD Theoretical and mathematical physics, Massachusetts Institute of Technology
BS Physics, Peking University