Wim Van Dam

Affiliations: 
Physics University of California, Santa Barbara, Santa Barbara, CA, United States 
Area:
Condensed Matter Theoretical Physics
Website:
http://www.physics.ucsb.edu/people/wim-van-dam
Google:
"Wim Van Dam"
Bio:

https://www.cs.ucsb.edu/~vandam/
https://www.cs.ucsb.edu/~vandam/cv_vandam.pdf
W.K. van Dam at the Album Academicum of the University of Amsterdam

Mean distance: 16.1
 

Parents

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Artur Ekert grad student 2000 Oxford
 (Nonlocality & Communication Complexity)
Paul Michael Béla Vitányi grad student 2002 Amsterdam (MathTree)
 (On Quantum Computation Theory)
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Publications

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Brady LT, Van Dam W. (2016) Quantum Monte Carlo simulations of tunneling in quantum adiabatic optimization Physical Review a - Atomic, Molecular, and Optical Physics. 93
van Dam W, Nguyen HD. (2013) Minimum energy surface required by quantum memory devices. Physical Review Letters. 110: 250502
Cleve R, Van Dam W, Nielsen M, et al. (2013) Quantum entanglement and the communication complexity of the inner product function Theoretical Computer Science. 486: 11-19
Van Dam W, Howard M. (2011) Bipartite entangled stabilizer mutually unbiased bases as maximum cliques of Cayley graphs Physical Review a - Atomic, Molecular, and Optical Physics. 84
Van Dam W, Howard M. (2011) Noise thresholds for higher-dimensional systems using the discrete Wigner function Physical Review a - Atomic, Molecular, and Optical Physics. 83
Bacon D, Van Dam W. (2010) Recent progress in quantum algorithms Communications of the Acm. 53: 84-93
Childs AM, Van Dam W. (2010) Quantum algorithms for algebraic problems Reviews of Modern Physics. 82: 1-52
van Dam W, Howard M. (2009) Tight noise thresholds for quantum computation with perfect stabilizer operations. Physical Review Letters. 103: 170504
Aharonov D, Van Dam W, Kempe J, et al. (2008) Adiabatic quantum computation is equivalent to standard quantum computation Siam Review. 50: 755-787
Van Dam W, Shparlinski IE. (2008) Classical and quantum algorithms for exponential congruences Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5106: 1-10
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