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Activity Number: 2 - Emerging Methods in Quantum Computing, Quantum Information, and Quantum Statistical Learning
Type: Invited
Date/Time: Sunday, August 7, 2022 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract #319210
Title: The Role of Statistics in Quantum Computation and Quantum Information
Author(s): Yazhen Wang*
Companies: University of Wisconsin-Madison
Keywords: quantum computation; quantum information; statistics; quantum speedup; quantum supremacy; quantum data science

Quantum computation and quantum information have attracted considerable attention on multiple frontiers of scientific fields ranging from physics to chemistry and engineering, as well as from computer science to mathematics and statistics. Data science combines statistical methods, computational algorithms, and domain science information to extract knowledge and insights from big data, and to solve complex real world problems. While it is well-known that quantum computation has the potential to revolutionize data science, much less has been said about the potential of data science to advance quantum computation. Yet because the stochasticity of quantum physics renders quantum computation random, data science can play an important role in the development of quantum computation and quantum information. This talk will present interplay between quantum science and data science and illustrate the role of statistics in quantum information science particularly quantum (computational) supremacy.

Authors who are presenting talks have a * after their name.

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