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
  • Moustapha Cisse, Facebook Research
  • Charles Macal, Argonne National Laboratory
  • Maria Fasli, Essex University
  • Marivate Vukosi, CSIR Modelling and Digital Science
  • Kareljan Schoutens, QuSoft
  • Maris Ozols, QuSoft
  • Zachariah Mmbasu, African Maths Initiative
  • Yabebal Fantaye, AIMS South Africa
  • David Stern, University of Reading
  • Ernest Mwebaze, Makerere University
  • Danny Parsons, Oxford University
  • Nikolaos Vasiloglou, Ismion Inc
  • Osemeke Osokogu, ELSEVIER
  • Patrick McSharry, CMU
  • Abdulmajid Osumanu, University of Waterloo
  • Issa Karambal, Sheridan College
  • Prosper Ngabonziza, Max-Planck-Institute for Solid State Research
  • Moustapha Cisse, Facebook Research
  • Charles Macal, Argonne National Laboratory
  • Maria Fasli, Essex University
  • Marivate Vukosi, CSIR Modelling and Digital Science
  • Kareljan Schoutens, QuSoft
  • Maris Ozols, QuSoft
  • Zachariah Mmbasu, African Maths Initiative
  • Bubacarr Bah, AIMS South Africa
  • David Stern, University of Reading
  • Yabebal Fantaye, AIMS South Africa
  • Ernest Mwebaze, Makerere University
  • Danny Parsons, Oxford University
  • Nikolaos Vasiloglou, Ismion Inc
  • Osemeke Osokogu, ELSEVIER
  • Patrick McSharry, CMU
  • Abdulmajid Osumanu, University of Waterloo
  • Issa Karambal, Sheridan College
  • Prosper Ngabonziza, Max-Planck-Institute for Solid State Research
  • Prince K. Osei, Quantum Leap Africa
  • Youssef Travaly, AIMS-NEI
  • Wilfred Ndifon, AIMS-NEI
  • Blaise Tchapnda, AIMS Rwanda
  • Rosita Yocgo, AIMS-NEI
  • Dative Tuyisenge, AIMS NEI
  • Emmanuel Boakye, University of Ghana
  • Jean-Medard Amandure, University of Rwanda
  • Fabrice Nkurunziza, African Center of Excellence-Data Science
  • Juliana Talai, Kenya Institute of Highways and Building Technology
  • Susan Nabasumba, African Center of Excellence-Data Science
  • Nelson Yego, University of Rwanda
  • Isaac Owusu-Appiah, Kwame Nkrumah University of Science and Technology
  • Cathrine Osongo, AIMS
  • Ezekiel Ogundepo, AIMS-Rwanda
  • Winnie Nakiyingi, AIMS-Rwanda
  • Jean Paul Nsabimana, University of Rwanda

Please click here to register