Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

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 ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

For over 100 years, two theories have shaped our understanding of the universe: quantum mechanics and Einstein’s general relativity. One explains the tiny world of particles; the other describes ...

An international collaboration sheds new light on the relationship between quantum theory and thermodynamics. The research group demonstrated that while the laws of quantum theory alone do not ...

Quantum-computing firm D-Wave introduced an open-source toolkit for bringing quantum annealing into AI and machine learning (ML) workflows. The toolkit, part of D-Wave’s Ocean software suite, ...

The original version of this story appeared in Quanta Magazine. Two blind spots torture physicists: the birth of the universe and the center of a black hole. The former may feel like a moment in time ...