kravchuk transform
Quantum Interference To Enable Swift Processing of Huge Datasets - TechCrunchX
Scientists from the Physics department, University of Warsaw, Poland, in association with the University of Oxford and NIST, have demonstrated that quantum interference facilitates the processing of huge sets of data faster and more accurately than with standard methods. The results of their work have been published in Science Advances. This research may enhance applications of quantum technologies in artificial intelligence, robotics, and medical diagnostics, for example. The Fast Fourier Transform algorithm(FFT) has made possible since the 1970s to efficiently compress and transmit data, broadcast digital TV, store pictures, and talk over a mobile phone. Minus this algorithm, medical imaging systems based on magnetic resonance or ultrasound would not have been designed. But then, it is still too slow for many demanding applications.