Quantum algorithms for differential equations: Opportunities and challenges

Friday, June 5, 2026 | 8:30-9:30 am

Andrew Childs, Ph.D.
Professor
Department of Computer Science and Interim Director 
University of Maryland Institute for Advanced Computer Studies (UMIACS)

 

Biosketch: Andrew Childs is a professor in the Department of Computer Science and interim director of the University of Maryland Institute for Advanced Computer Studies (UMIACS). He was a co-director of QuICS from 2014-2024, and is the director of the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation.

Childs's research interests are in the theory of quantum information processing, especially quantum algorithms. He has explored the computational power of quantum walk, providing an example of exponential speedup, demonstrating computational universality, and constructing algorithms for problems including search and formula evaluation. Childs has also developed fast quantum algorithms for simulating Hamiltonian dynamics. His other areas of interest include quantum query complexity and quantum algorithms for algebraic problems.

Before coming to UMD, Childs was a DuBridge Postdoctoral Scholar at Caltech from 2004-2007 and a faculty member in Combinatorics & Optimization and the Institute for Quantum Computing at the University of Waterloo from 2007-2014. Childs received his doctorate in physics from MIT in 2004.

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