This research project aims at better understanding the challenges facing Quantum Information Technology (QIT) in order to successfully integrate into the existing "classic" Information Technology (IT) framework.
Jun 2010: Interview with Matt Purkepille, author of the Cove quantum computer programming framework aiming at providing a practical development platform for commercial developers.
Jun 2010: Interview with Erika Jones, PhD student George Mason University in Fairfax, Virginia whose thesis work focuses on quantum computing and genetic algorithms.
May 2010: Interview with Marco Lanzagorta, a scientific consultant for the US Department of Defense at a major research laboratory in Washington DC, and an affiliate associate professor at George Mason University in Fairfax, Virginia.
Apr 2010: Interview with Zhenghan Wang from Station Q, a Microsoft Research group working on topological quantum computing.
Apr 2010: Interview with Scott Aaronson, Associate Professor of Electrical Engineering and Computer Science at MIT. Scott is also the author of the popular Shetl-Optimized blog and the Complexity Zoo wiki.
Mar 2010: QIT Survey now publicly available at http://www.surveymonkey.com/s/qitsurvey
Mar 2010: Initial data collection round in progress (for selected individuals)
Feb 2010: pilot survey completed
Jan 2010: survey questionnaire and basic advocacy materials drafted
Dec 2009: web site release
Oct-Nov 2009: planning, QIT survey design, establish contact list, marketing/advocacy plan
Sep 2009: project started