Wang Xiaoting, From quantum control to quantum computing-How control and optimization desigh reduces quantum errors

post on Thursday 13 April 2017, by lijun

Dr. Wang Xiaoting

Louisiana State University 地点:B501 时间:2017-04-13 10:30

Abstract:Quantum information processing(QIP) has been identified as one of the key future technologies that are crucial for communication, cryptography, computing, complex-system simulation, metrology, artificial intelligence and national security. Quantum control, on the other hand, provides a powerful tool to analyze and improve the physical performances of different QIP devices. In this talk, I will introduce three different methods that can be readily implemented in experiment to reduce quantum noise, the big obstacle towards large-scale quantum computing. These methods are (1) optimal cooling, (2) minimal noise subsystems, and (3) quantum brachistochrone control. Finally, as an application, I present a work in collaboration with the experimentalists, implementing the brachistochrone design to reduce errors on spin qubits in solid. Profile:Dr. Xiaoting Wang obtained his Master and PhD from University of Cambridge. He then completed his postdoctoral work at University of Massachusetts Boston, Massachusetts Institute of Technology, and currently with Louisiana State University. Dr Wang research includes quantum control and quantum information, with a focus on quantum error prevention techniques derived from differential geometry and optimal control.