particle physics

Now that scientists have a way of exploring this collective entanglement, the tools of quantum information science could make some problems in nuclear and particle physics easier to understand.

In the long run, the photonic processor could lead to faster and more energy-efficient deep learning for computationally demanding applications like lidar, scientific research in astronomy and particle physics, or high-speed telecommunications.

The current best candidate for dark matter is the axion, a particle that fits nicely within the standard model of physics and solves several other outstanding puzzles in particle physics.

“These artificial neural networks have been used to advance research across physics topics as diverse as particle physics, material science and astrophysics,” said Ellen Moons, chair of the Nobel Committee for Physics, at the announcement.

Her discovery of the Kaon particle helped lead to a revolution in the theory of particle physics.