Quantum Computing relies on the rules of quantum mechanics to perform calculations in a way being inherently different from classical computing. In the absence of noise it promises to achieve the algorithmic speed-up for the selected problems in areas of chemistry, material science, optimization, and AI. Recently, quantum computing emerged as powerful platform for machine learning.
Modern QC devices operate in noisy setting, where the number of quantum operations (gates) is limited. Within the quantum computing theme we develop efficient quantum algorithms that can solve data-driven problems, with the ultimate goal of solving industrially relevant problems.
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