Quantum computing stocks surged last week after the U.S. Department of Commerce announced $2.013 billion in CHIPS and Science Act grants to nine quantum computing companies, marking one of the largest ...

Researchers have successfully demonstrated quantum speedup in kernel-based machine learning.

Largest and longest-tenured pure-play quantum ETF holds direct exposure to IBM, D-Wave, Rigetti, and other companies named in ...

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 ...

As we talked about a decade ago in the wake of launching The Next Platform, quantum computers – at least the fault tolerant ones being built by IBM, Google, Rigetti, and a few others – need a massive ...

Quantum computing is poised to redefine technology, offering unprecedented computational capabilities to address problems beyond the reach of classical systems. Jerry Chow, an IBM Fellow and Director ...

The quantum computing trade has shifted from a speculative bet to an identifiable, investable theme, and the three exchange-traded funds that best capture it each take a different angle on the same ...

D-Wave Quantum QBTS is advancing the intersection of quantum computing and artificial intelligence. In August, the company introduced an open-source Quantum AI toolkit, which is part of D-Wave’s ...

Today's quantum computers generally aren't capable of solving real-world problems quicker than traditional computers. They are capable of performing some types of computations faster, but these ...

IBM is unveiling IBM Quantum Nighthawk, its most advanced quantum processor yet and designed with an architecture to complement high-performing quantum software to deliver quantum advantage next year: ...

Quantum machine learning (QML) has emerged as a promising domain to leverage the computational capabilities of quantum systems to solve complex classification tasks. In this work, we present the first ...

Modern technology and scientific experiments increasingly generate larger and larger amounts of data. This data is sometimes redundant, incomplete or inaccurate and needs to be cleaned and merged with ...