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

BTQ Technologies Corp. ("BTQ" or the "Company") (Nasdaq: BTQ) (CBOE CA: BTQ) (FSE: NG3), a global quantum technology company focused on securing mission-critical networks, is pleased to announce that ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...

The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...

In only four decades, the field of quantum computing has made big leaps, evolving from a theoretical framework in 1980 to ...

Quantum can learn from the AI hype cycle, finding ways to manage expectations of what could be a very transformative technology. In the near- and mid-term, we need to not overplay things and be ...

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 ...

Even as quantum navigation emerges as a legitimate alternative to satellite-based navigation, the satellites themselves are ...

Advancements in quantum computing may present sustainable creative opportunities for artists experimenting with machine ...

Emily Fontaine is the global head of venture capital at IBM. The company’s venture fund, IBM Ventures, is a $500 million fund currently focused mostly on AI and quantum computing. So far it has made ...

As AI and quantum collide, we get huge leaps in power — along with a scramble to secure our data, trust the results and brace ...