Colloquium: Xiaoting Wang, University of Electronic Science and Technology of China
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 an experimental work implementing the brachistochrone design to reduce errors on spin qubits in solid.