Random Data May Serve as a Concrete Quantum Computing Benchmark https://thequantuminsider.com/?p=2358157 #Research #benchmark #Freie_Universitat_Berlin #HelmholtzZentrum_Berlin #quantum_computing_benchmark #Qusoft_Research #Qusoft_Research_Centre_Amsterdam #random_numbers #Technology_Innovation_Institute_Abu_Dhabi_Materials_Research #University_of_Copenhagen #quantumdaily Insider Brief The performance of quantum computers is often difficult to quantify. A team of researchers say that they succe
#Research #benchmark #Freie_Universitat_Berlin #HelmholtzZentrum_Berlin #quantum_computing_benchmark #Qusoft_Research #Qusoft_Research_Centre_Amsterdam #random_numbers #Technology_Innovation_Institute_Abu_Dhabi_Materials_Research #University_of_Copenhagen #quantumdaily
Simple Data Gets the Most Out of Quantum Machine Learning https://thequantuminsider.com/?p=2356285 #Research #Freie_Universitat_Berlin #Los_Alamos_National_Laboratory #QML #quantum_machine_learning #research #quantumdaily Insider Brief: New theoretical research between the Los Alamos National Laboratory, Freie Universität Berlin and other researchers from the United States, United Kingdom, and Switzerland, proves that machine learning on quantum computers requires far simpler data than previous
#Research #Freie_Universitat_Berlin #Los_Alamos_National_Laboratory #QML #quantum_machine_learning #quantumdaily