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 ...

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 ...

D-Wave Quantum (NYSE:QBTS) develops quantum computing systems, hybrid solvers, and software platforms, driving technological ...

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 ...

Cloud Access: Quantum computers are increasingly available through the cloud. This means more people and smaller companies ...

Quantum computing made significant strides in 2024, but it’s yet to demonstrate a practical advantage over classical digital computers, according to a recent trends report released by Forrester ...

Understanding The FASQ Vision Defining Fault-Tolerant Application-Scale Quantum So, what exactly is this "FASQ" thing we keep ...