Quantum computing is a new computing paradigm utilizing quantum mechanics to efficiently search for solving difficult tasks of practical importance in various applications such as healthcare and supply-chain optimization.
Research of quantum computing has been accelerated by the proliferation of the so-called near-term quantum devices. Unfortunately, such quantum devices are noisy and often limited to small instances, so that at the moment there is no known practical advantage of using the available quantum devices for solving real-world applications. However, quantum algorithms have given birth to various quantum-inspired classical algorithms that in some cases can give better solutions than the previously-known conventional algorithms.
Based on experiences of working with various real-world applications using geospatial time-series datasets, Q-CAN has been working on the possibility of applying quantum-inspired classical algorithms for AI in healthcare, such as, disease prediction from medical checkup datasets, and supply-chain optimization from ship movements and weather patterns.