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 ...

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 ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

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 ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

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 quantum computing, from qubits science and tech breakthroughs to future quantum applications, and discovering how close we are to real-world use cases Pixabay, geralt Quantum computing ...

Despite investor scepticism, prominent quantum computing stocks have seen a notable rise at the beginning of 2025. Even prominent tech leaders such as Jensen Huang and Mark Zuckerberg stating the ...