However, quantum computing operates on fundamentally different principles—such as superposition, entanglement, and quantum interference—which can enable significantly more powerful AI models.

A generative model is a mathematical model that generates data, if required with a user’s inputs. A general model designed to run on a quantum computer is a quantum generative model (QGen).

Research co-led by University of Toronto researchers and Insilico Medicine has demonstrated the potential of quantum computing and artificial intelligence to transform the drug discovery pipeline. In ...

Quantum computing and artificial intelligence (AI) can be combined with classical computing methods to design and discover small-molecule candidates that target the cancer-driving KRAS protein ...

“In my opinion, quantum computing is in the same state today as generative AI in chemistry was in 2015 to 2016, when my team decided to go all-in on it,” said Alex Zhavoronkov, founder and CEO ...

Its quantum-enhanced machine learning capabilities are integrated with the NVIDIA CUDA-Q development platform and can be combined with generative AI models, providing the nearest path to ...

Quantinuum Unveils Generative Quantum AI Framework that Harnesses Unique Quantum-Generated Data to Tackle Complex Problems Impossible for Classical Computing Quantinuum's System Model H2, the world's ...

Researchers at the University of Waterloo's Institute for Quantum Computing (IQC) have found that quantum algorithms could speed up generative artificial intelligence (AI) creation and usage.

You can’t retrofit quantum AI-models, and digital-twin assisted manufacturing into existing technologies,” Mansouri says. “Instead, you need to prepare for the next computational and digital ...

Generative diffusion models learn by corrupting the data associated with an image or text, and then fixing it. Once the model has learned how to fix corrupt data, it can apply the reverse process to ...