Professor and Co-Director

3100F Atlantic Building

(301) 405-2329

Andrew Childs, co-director of QuICS, is a professor in the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS).

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.

“On the relationship between continuous- and discrete-time quantum walk”, Communications in Mathematical Physics, vol. 294, no. 2, pp. 581 - 603, 2010. ,

“Universal computation by quantum walk”, Physical Review Letters, vol. 102, no. 18, 2009. ,

“Discrete-query quantum algorithm for NAND trees”, Theory of Computing, vol. 5, no. 1, pp. 119 - 123, 2009. ,

“Improved quantum algorithms for the ordered search problem via semidefinite programming
”, Physical Review A, vol. 75, no. 3, 2007. ,

“The limitations of nice mutually unbiased bases”, Journal of Algebraic Combinatorics, vol. 25, no. 2, pp. 111 - 123, 2007. ,

“Two-way quantum communication channels”, International Journal of Quantum Information, vol. 04, no. 01, pp. 63 - 83, 2006. ,

“Unified derivations of measurement-based schemes for quantum computation”, Physical Review A, vol. 71, no. 3, 2005. ,