Scientists hope that a new machine learning algorithm could one day be used to automate the discovery of new physical laws.
The dramatic story behind general relativity’s Nobel Prize snub
More than 100 years on after Einstein’s 1921 Nobel Prize, some confusion remains around the committee’s reasons for omitting relativity.
Quantum bits that exist in two time dimensions
Extra time dimensions provide scientists with a new way to think about phases of matter for more stable qubits and robust quantum computers.
World’s most advanced detector ready to shed light on dark matter
The LUX-ZEPLIN detector is now operational and ready to capture weakly interacting particles believed to be the constituents of dark matter.
From wood chuck holes to worm holes — A look into the notebooks of John Wheeler
Glimpse into the notebooks of physicist John Wheeler, which capture his eclectic, crazy, and yet never one-dimensional ideas.
Tetraneutron finally found
Physicists have reported the observation of a tetraneutron, a subatomic particle consisting of just four neutrons.
A new elementary particle may have just been discovered
An elusive new elementary particle called the sterile neutrino may have just been spotted by physicists.
Embedding data in quantum states for machine learning
Quantum computing to process large amounts of data tested by bringing together complementary and versatile quantum processors.
Standard Model tested with record-breaking accuracy
Researchers put quantum electrodynamics to the test, pushing the boundaries of the Standard Model of physics.
High-speed plasma turbulence measured in nuclear fusion reactor for the first time
Understanding the physics of plasma instabilities and developing the ability to control them is crucial for a working nuclear fusion reactor.