STA 290 Seminar Series
Thursday, April 2nd, 2015, 4:10pm, MSB 3106 (Math Dept 3rd floor)
Refreshments at 3:30pm in MSB 4110 (Statistics Lounge)
Speaker: Yazhen Wang (University of Wisconsin-Madison)
Title: Quantum Computation and Statistics
Abstract: Quantum computation and quantum information are of great current interest in computer science, physics, chemistry, engineering, mathematics and statistics. They will likely lead to a new wave of technological innovations in communication, computation and cryptography. As the theory of quantum physics is fundamentally stochastic, randomness and uncertainty are deeply rooted in quantum computation and quantum information. Thus statistics can play an important role in quantum computation, which in turn may offer great potential to revolutionize statistical computing and inferences. This talk will first give a brief introduction on quantum computation and then present my recent work on quantum tomography via compressed sensing as well as statistical analysis of quantum annealing for large scale quantum computing data.