By applying machine learning algorithms to quantum computing, utilities companies can unlock insights from their data that were previously hidden as well as improve their predictive models. The field ...

Classical machine learning (ML) algorithms have proven to be powerful tools for a wide range of tasks, including image and speech recognition, natural language processing (NLP) and predictive ...

Vice President of AI & Quantum Computing, Paul Smith-Goodson gives his analysis of quantum machine learning models and IonQ's strategy to make it a reality. Newsletters Games Share a News Tip.

Further research in quantum machine learning for data analysis is necessary before it can be of use to industries for practical application, Chen said, and an IUCRC would make tangible progress. “We ...

Maria Schuld, a machine-learning researcher at Xanadu, says the recent work may be the start of a flurry of research papers that combine the buzzwords “quantum” and “AI.” “There is a ...

Scalability And Efficiency: With their inherent parallelism, quantum computers can address the curse of dimensionality in machine learning. Techniques such as Quantum Principal Component Analysis ...

Dr. Muhammad Usman, a CSIRO quantum scientist and the senior author of the study, said the research team was able to demonstrate quantum machine learning can simplify large sets of data without ...

Dublin, Nov. 21, 2024 (GLOBE NEWSWIRE) -- The "Machine Learning and Deep Learning in the Quantum Era 2024: A Market Forecast and Technology Assessment" report has been added to ResearchAndMarkets ...