Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Overview Indian quantum computing companies are moving from academic research to enterprise adoption.IT leaders such as Tata Consultancy Services and startups l ...

In the life sciences and healthcare industries, the speed of innovation impacts how soon new products, medications and treatments make it to market—and, in turn, how quickly people are able to benefit ...