Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

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 ...

Quantum computing has the potential to revolutionize industries by decoding complex ciphers, optimizing supply chains, and ...

QTUM ETF tracks the BlueStar Quantum Computing and Machine Learning Index, holding 73 stocks in the quantum computing sector with a 0.40% expense ratio and 0.60% yield. The benchmark follows a passive ...

QTUM ETF offers exposure to quantum computing and machine learning, but isn't a pure quantum play; it's a mix of tech, semiconductors, and some defense stocks. Despite dilution from non-core holdings, ...