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 ...
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 ...
Opinion
Morning Overview on MSNOpinion

Is quantum the next AI killer, or just hype?

Quantum computing has moved from physics labs into boardroom slide decks, promising to crack problems that leave even the largest AI models and supercomputers gasping. Yet for all the talk of a coming ...
The quantum sector is shifting from speculative science to a commercial race, with hardware, software, and investment ...
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 ...
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 ...