From quantum control to quantum computing --How control and optimization design reduces quantum errors

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.