Physicists at the California College of St. Mary submitted hundreds of satellite images of the quantum system D-Wave 2X, composed of 1152 qubits. The quantum computer needed based on various characteristics such as hue, saturation, reflectivity and much more, to determine which groups of pixels are trees. After completion of the training on their mistakes quantum system achieved 90% recognition accuracy of images from the satellite images taken from the archives of NASA. This was the world's first demonstration of the use of quantum computer for image analysis and solve the specific problems relating to machine learning and pattern recognition.
By such methodology quantum processors based on satellite photographs can reveal new patterns in changing climatic conditions allowing for the outline of the cloud environment of northern Canada to predict cyclones in India. But according to the amount of Ithaca Hen (Itay Hen) from the University of Southern California, this scientific work published in the magazine (Itay Hen), shows that a quantum computer D-Wave can handle the standard recognition task better than classical computers. This is the first demonstration of the operation of a quantum computer in the classical calculations.
