Quantum computing

By T. Nishino. New generation computing, 2003

2,558 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Cavity-based quantum networks with single atoms and optical photons (2014, background): “In combination with controlled longrange interactions, this is the basis for distributed quantum information processing (Awschalom et al., 2013; Monroe and Kim, 2013) that might allow for universal scalable quantum computation (Ladd et al., 2010).”
Quantum walks: a comprehensive review (2012, methodology): “Finally, readers who are not yet acquainted with the mathematical and/or physical foundations of quantum computation may find the following references useful: [183,203,280,323,324,341, 369,370,441].”
Foundations of Genetic Programming (2002, neutral): “These include, listed roughly from least to most technical, Brown (2000), Milburn (1997), Brooks (1999), Rieffel and Polak (2000), Steane (1998), Gruska (1999), and Nielsen and Chuang (2000).”
Machine learning for molecular and materials science (2018, background): “93 This parallelisation leads to an exponential speedup in computational efficiency as the number of (qu)bits used increases.”
Quantum Simulation (2013, background): “…number of so-called International Patent Families relating to 2G quantum simulation technologies and the number in all technical fields by the year when the underlying inventions were made publicly available for the first time and could influence the activities of competitors and other researchers.”