Quantum Scientific Computation

Published on ● Video Link: https://www.youtube.com/watch?v=WR1xJKvKUFE



Duration: 14:40
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Jin-Peng Liu (Simons Institute, Berkeley)
https://simons.berkeley.edu/talks/quantum-scientific-computation
Meet the Fellows Welcome Event Fall 2022

Quantum computers are expected to dramatically outperform classical computers for certain computational problems. There has been extensive previous work for linear dynamics and discrete models, including Hamiltonian simulations and systems of linear equations. However, for more complex realistic problems, one fundamental challenge is the substantial difference between the linear dynamics of a system of qubits and real-world systems with continuum, nonlinear, and stochastic behaviors. I focus mainly on the design and analysis of quantum algorithms for scientific computational problems, including topics such as linear and nonlinear differential equations, quantum dynamics, and stochastic processes, with applications in areas such as biology and epidemiology, fluid dynamics, quantum chemistry, finance, and machine learning.







Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Meet the Fellows Welcome Event Fall 2022
Jin-Peng Liu