Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

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

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 ...

ORCA Computing, a leading quantum computing company, today announced a collaboration with ST Engineering to advance ...

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 ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

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

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 ...