Data to Quantum

Workshop date: Monday, March 19, 2018 (All day) to Friday, March 23, 2018 (All day)

Scientific Areas: Data science, Data for development, Data in Industry, Quantum machine learning, Quantum information

In recent years, Data driven decision making and scientific discovery has become essential for computing in areas such as finance and marketing, Internet of Things, telecommunications, climate, social, health-care, etc. While there have been some remarkable successes in the digital revolution, we might soon reach a point where the current computational tools will no longer be sufficient. There are many scientific challenges in Data Science ranging from data capture and storage to searching, modelling and visualization. The combination of quantum physics and information technology is a computational paradigm which has the potential to produce a new information processing device. Based on the laws of quantum mechanics, such a processing device seeks to carefully exploit quantum effects to resolve problems considered hard for classical machines.

In this Data to Quantum workshop, Quantum Leap Africa (QLA) seeks to bring together leading researchers, industry practitioners, as well as potential users of data science, big data analytics and quantum information. The aim is to explore fundamental research areas such as open problem in machine learning algorithms and quantum machine learning. In particular, grounding algorithms in an adequate theory of learning. It also seeks to explore proposals for quantum information technology. On the application side, it is aimed at collecting contributions related to applications of Data Science and Big Data Analytics for scientific and technology discovery as well as how one can use Data for development in Africa.

  • Prince K. Osei, Quantum Leap Africa
  • Bubacarr Bah, AIMS South Africa
  • Youssef Travaly, AIMS-NEI
  • Wilfred Ndifon, AIMS-NEI
  • QLA Phase 1 working group
  • Stefaan G. Verhulst, New York University
  • Moustapha Cisse, Facebook Research
  • Maria Fasli, Essex University
  • Vukosi Marivate, CSIR
  • Kareljan Schoutens, QuSoft
  • Maris Ozols, QuSoft
  • Zach Mbasu, African Maths Initiative
  • Bubacarr Bah, AIMS South Africa
  • Sudeep Das, Netflix
  • David Stern, University of Reading
  • Yabebal Fantaye, AIMS South Africa
  • Stefaan G. Verhulst, New York University
  • Moustapha Cisse, Facebook Research
  • Maria Fasli, Essex University
  • Vukosi Marivate, CSIR
  • Kareljan Schoutens, QuSoft
  • Maris Ozols, QuSoft
  • Zach Mbasu, African Maths Initiative
  • Bubacarr Bah, AIMS South Africa
  • Sudeep Das, Netflix
  • Prince K. Osei, Quantum Leap Africa
  • Youssef Travaly, AIMS-NEI
  • Wilfred Ndifon, AIMS-NEI
  • Danny Parsons, Oxford University
  • Blaise Tchapnda, AIMS Rwanda
  • Rosita Yocgo, AIMS-NEI
  • Abdulmajid Osumanu, University of Waterloo
  • David Stern, University of Reading
  • Yabebal Fantaye, AIMS South Africa

 

To register, please click here
Deadline February 23, 2018

TBD