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 ...

Quantum computing exists beyond the realm of science fiction. Technology is now integrating with artificial intelligence to transform machine learning capabilities, adaptation and reasoning abilities.

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of ...

The 12-month engagement, titled "Enhancing Pathology through Quantum Computing,” is funded through Avanza UC 2025, the Internal Research and Creation Competition of UC Chile. To the collaborators’ ...

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 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 ...

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 ...

Zapata Quantum (OTC: ZPTA) (“Zapata,” “Zapata Quantum” or the “Company”), a leader in quantum computing algorithm and application development, today announced the return of two of its co-founders to ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...

Classical public-key cryptography derives its security from integer factorisation. Diagram by Venus Kolhi. Quantum computers bring exponential computing power, ultrafast calculations, advanced ...