Predicting ‘Things’ and Training Neural Networks With Quantum Algorithms a Focus of FSU
FSU researchers enhance quantum machine learning algorithms William Oates, the Cummins Inc. Professor in Mechanical Engineering and chair of the Department of Mechanical Engineering at the FAMU-FSU College of Engineering (Image Credit: FAMU-FSU College of Engineering/Mark Wallheisier). A Florida State University professor’s research could help quantum computing fulfill its promise as a powerful computational […]
Discerning the “Fine Line” Between Quantum and Classical Computing
Discerning the “Fine Line” Between Quantum and Classical Computing AI method determines quantum advantage for advanced computing Excerpts and salient points ~ + Russian researchers from the Moscow Institute of Physics and Technology, Valiev Institute of Physics and Technology and ITMO University have created a neural network that learned to predict the behavior of a […]
Machine Learning, Artificial Intelligence, Neural Networks and the Quantum World
Machine Learning, Artificial Intelligence, Neural Networks and the Quantum World Which One Is the Perfect Quantum Theory? Excerpts and salient points ~ + For some phenomena in quantum many-body physics several competing theories exist. But which of them describes a quantum phenomenon best? A team of researchers from the Technical University of Munich (TUM) and […]
Rocketships Need Big Engines and Lots of Fuel…
D-Wave’s spinoff, Quadrant, is experiencing the advantages of two types of computing: Classical and quantum. With quantum supremacy years off in the distance, Quadrant is coupling the 2000Q D-wave box to its classical-based neural network and producing fair gains in processing. Well-developed, and thorough, this piece is worth the read.