By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

In chemistry, molecules with a "flat" geometry are often stable enough to support a wide range of reactions. But in the quantum world, that's not technically true.

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron densities By applying new methods of machine learning in quantum chemistry ...

Even as quantum computing advances steadily, it will not replace classical computers in the near future. Most current systems remain experi ...

Quantum computing in 2026 still isn't a faster laptop. It doesn't make email snappier, and it won't speed up spreadsheets.

Microsoft released new open-source quantum development tools, expanding the Quantum Development Kit. VS Code and GitHub Copilot now play a more central role in ...

Bridging quantum mechanics and crystallography, quantum crystallography offers precise analysis of crystalline materials, impacting various scientific fields.

The powerful software can reduce the time needed to simulate reactions with large molecules from weeks to just minutes.

Explore the future of the Quantum 2.0 market, set to expand from $3 billion in 2026 to over $50 billion by 2036, driven by quantum computing, sensing, and communications. This seismic technological ...

The commonly used RSA encryption algorithm can now be cracked by a quantum computer with only 100,000 qubits, but the technical challenges to building such a machine remain numerous ...