One of the particles acts as a thermometer and the whole system is simulated on the computer. Credit: TU Wien One of the particles acts as a thermometer and the whole system is simulated on the ...
Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...
Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...
Quantum nano-mechanics. Quantum jumps in atomic physics. Continuous transitions between quantum states in quantum‒classical mechanics for molecular and chemical physics involve both chaotic (dozy ...
Chinese researchers have used a 78-qubit superconducting quantum processor to demonstrate that structured random pulses can hold off the chaotic heating that rapidly destroys quantum information. In ...
Where do you see patterns in chaos? It has been proven, in the incredibly tiny quantum realm, by an international team co-led by UC Santa Cruz physicist Jairo Velasco, Jr. In a new paper published on ...
SALT LAKE CITY – A University of Utah study is shedding light on an important, unsolved physics problem: the relationship between chaos theory – which is based on 300-year-old Newtonian physics – and ...
Scientists at the Institute of Physics at the Chinese Academy of Sciences have directly ...
The ability to exploit the extraordinary properties of quantum mechanics in novel applications, such as a new generation of super-fast computers, has come closer following recent progress with some of ...
You might say it all started with a spot of hay fever. In June 1925, a young physicist named Werner Heisenberg retreated to the barren island of Helgoland in the North Sea, seeking respite from his ...
Mean-field theory and semiclassical methods constitute vital frameworks in contemporary quantum mechanics. By replacing the intricate web of particle interactions with an average or “mean” field, mean ...