Quantum Computation and Statistics
Yazhen Wang, Department of Statistics, University of Wisconsin-Madison
Abstract: Quantum computation and quantum information are of great current interest across various fields, including computer science, mathematics and statistics, physical sciences and engineering. As the theory of quantum physics is fundamentally stochastic, quantum computation and quantum information are inherently infused with elements of randomness and uncertainty. Consequently, quantum algorithms are random in nature. This highlights the important role for statistics to play in the realm of quantum computation, which in turn offers great potential to revolutionize computational statistics. In this talk, I will provide an overview of quantum computation and statistics, covering the fundamental concepts and exploring quantum advantage along with the role of statistics and the implications for statistics.
Cost: free