New hybrid quantum applications show quantum computing’s ability to optimize materials science properties using Quantum-Enhanced Generative Adversarial Networks (QGANs) and fine-tune LLM models using ...

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 ...

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

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 ...

Quantum computing has moved from physics labs into boardroom slide decks, promising to crack problems that leave even the ...

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.

At a time when data are doubling every two years, the U.S. is projected to create over 40 billion gigabytes of data by 2025. To prepare for the influx, Kennesaw State University associate professor ...

The quantum AI market is poised for transformative growth, driven by its ability to optimize systems, enhance decision-making, and revolutionize sectors like healthcare and finance. Key opportunities ...

Overview: Quantum computing promises exponential speedups for complex healthcare problems like molecular simulation, genomics, and precision medicine, but real- ...

Viraj Kulkarni, Founder of Iyaso, is using AI-powered speech therapy to help people overcome stuttering and communication disorders.