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The Purdue Quantum Informatics and Data Analytics Team is a collaboration between the Purdue Quantum Science and Engineering Institute at Discovery Park the Institute for Business Analytics at Krannert School of Management and the Center for Systems in College of Engineering.
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Quantum big data analytics helps to solve Big Data problems by combining quantum computation and machine learning capabilities which result in better performance than that of classical neural networks or statistical models These quantum algorithms can be used for various use cases like image recognition pattern detection language translation etc.
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In other words we assume that the data is stored in a quantum memory the corresponding quantum version of the classical randomaccess memory We will see that for a new QML algorithm one often needs to make sure that the real performances of the quantum algorithms offer concrete advantages with respect to the effective runtime and the accuracy.
