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 ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

IQM Quantum Computers (Nasdaq: IQMX) (“IQM”, “IQM Quantum Computers” or the “Company”), a global leader in full-stack ...

QpiAI, a globally leading full-stack quantum computing company, today released the QpiAI Quantum SDK as open-source software. Available now at the QpiAI Quantum SDK gives developers, researchers, and ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

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 ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

Finland’s IQM Quantum Computers has acquired selected assets of Quantistry, a Berlin-based developer of cloud-native ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

Toronto-based Xanadu Quantum Technologies published a new algorithmic optimization on May 21 that halves the Toffoli gate count inside Quantum Read-Only Memory (QROM) subroutines — the single most ...