A new theoretical framework separates computational speed from statistical generalization in quantum machine learning, showing that faster quantum algorithms alone do not guarantee better learning ...

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 ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

As quantum computing continues to advance, so too are the algorithms used for quantum machine learning, or QML. Over the past few years, practitioners have been using variational noisy ...

Quantum computers promise to solve problems that stump even the most powerful supercomputers, but the machines themselves are ...

IIT Delhi’s Bharti School, under CEP, offers a rigorous programme combining academic and applied learning in quantum ...

Artificial intelligence (AI) has become integral to our daily lives, from virtual assistants like Siri to personalized recommendations on Netflix. As AI technology advances, quantum machine learning ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...

Get latest articles and stories on Business at LatestLY. New Delhi [India], October 6: The Indian Institute of Technology Delhi (IIT Delhi), CEP has announced admissions for the ninth batch of its ...