Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational chemistry, is not unlike using the Rosetta Stone to unlock the secrets of ancient ...

Crystal jellyfish have an eerie beauty: thanks to a natural protein, they emit a faint green glow. For decades, researchers have used that green fluorescent protein and similar molecules to light up ...

Xanadu and Lockheed Martin launch a Quantum Machine Learning initiative exploring generative models and quantum-native operations.

Abstract: Quantum Machine Learning (QML) is an emerging, powerful paradigm at the intersection of quantum computing and artificial intelligence, with the potential to enhance medical image analysis.

Okay, so let’s talk about what’s cooking in the world of quantum processors. By 2025, we’re seeing some pretty neat upgrades that are pushing the boundaries of what these machines can do. It’s not ...

John Martinis is a hardware guy. He prefers the nitty-gritty of doing physics in the lab over the idealised world of textbooks. But you couldn’t write the quantum computing history books without him: ...

Coinbase has launched an Independent Advisory Board on Quantum Computing and Blockchain to proactively safeguard Bitcoin and other digital assets against potential future quantum threats. Earlier this ...

Quantum computing won’t break Bitcoin in 2026, but the growing practice of “harvest now, decrypt later” is pushing the crypto industry to prepare sooner rather than later. Quantum computing has long ...

In the world of quantum computing, some of the world’s most important tech giants are striving to achieve a permanent advantage over classical computing, solving problems that simply cannot be solved ...

For years, the conversation around quantum computing and cryptocurrency has been dominated by a single, breathless question: Will a quantum breakthrough kill Bitcoin? The fear is simple enough.

Abstract: Quantum federated learning (QFL) is a combination of distributed quantum computing and federated machine learning, integrating the strengths of both to enable privacy-preserving ...