IMPRESS-U Call Partner Search Tool

General Information

• Project title: Quantum Machine Learning for Sustainable Ukraine
• Type: Project looking for partner
• Organisation: University of Tartu / TTK UAS
• Country: Estonia (EE)

Research area

• NSF calls:
  • EAGER
  • International Supplements
• Keywords:

  : AI machine learning quantum algorithms

• Brief description of your expertise / expertise you are looking for:

  Experience in the field of rule-based decision-making algorithms and interest in Machine Learning and AI. Could be related to some actual tasks, for example, the calculation of production routes and estimation of operation time by using AI, or the calculation of optimal routes in logistics by AI.

• Brief description of your project / the project you would like to join:

  Machine learning is one of the key areas where the power of quantum computing can be utilised. Though many machine learning algorithms have been successfully developed to solve various problems in the past decades, these algorithms take a long time to train. Quantum machine learning algorithms can significantly enhance the processing efficiency and exponential computational speed-up for effective quantum data representation and superposition framework, highly capable of guaranteeing high data storage and secured communications. The recent literature demonstrates that QC has enviable prospects and is appealing in many practical applications as it considerably speeds up costly computational processes. It can stimulate new theoretical learning approaches that are not feasible with the classical computing counterpart. Quantum computers employ quantum phenomena to solve complex mathematical problems impractical to classical computers efficiently. We would like to initiate the collaboration between Georgia Tech (USA), TTK UAS (EST), RTA (LVA) and Ukrainian HEI. We are interested in starting a project related to AI and quantum machine learning. We have experience of using AI in manufacturing agriculture and looking for an international partner from Ukraine. The target is to create new courses and work on joint research Publications to be submitted to Q1-level journals. Partners will have the possibility to travel between HEI-s to Exchange research experience and enlarge International Teaching Experience. Organisations that use the power of quantum computing could help humanity solve some of the world\'s biggest problems and make breakthroughs in critical areas, from drug research to global agriculture and beyond. Many of quantum computing\'s uses are either experimental or hypothetical at the moment, as we\'re still in the early stages of learning how to implement quantum computing on a mass scale, but as the technology develops, organisations should recognise how they can use it. We could see several practical applications of quantum computing in the future: AI and machine learning (ML), Financial modelling, Cybersecurity, Route and traffic optimisation, Manufacturing, Drug and chemical research, and Batteries. In current project we can apply algorithms to solve real-world tasks, for example, predict if the destroyed building should be destroyed or restored.

Eduard Ševtšenko

• Organisation: University of Tartu / TTK UAS
• Position: Associate Professor
• E-mail: eduard.sevtsenko@gmail.com
• Phone: +37255655085
• Web: ut.ee tktk.ee