See also stories tagged with Quantum mechanics
The Hong Kong University of Science and Technology (HKUST)-led research team has adopted gyromagnetic double-zero-index metamaterials (GDZIMs)—a new optical extreme-parameter material—and developed a new method to control ...
Quantum dots are microscopic semiconductor crystals developed in the lab that share many properties with atoms, including the ability to absorb or emit light, a technology that Los Alamos researchers have spent nearly three ...
A research team led by Prof. Zhang Tianshu at the Hefei Institutes of Â鶹ÒùÔºical Science of the Chinese Academy of Sciences has developed a compact all-solid-state continuous-wave (CW) single-longitudinal-mode (SLM) laser with ...
A research team has observed multibody interaction-induced EPs and hysteresis trajectories in cold Rydberg atomic gases. They revealed the phenomenon of charge-conjugation parity (CP) symmetry breaking in non-Hermitian multibody ...
Randomness is incredibly useful. People often draw straws, throw dice or flip coins to make fair choices. Random numbers can enable auditors to make completely unbiased selections. Randomness is also key in security; if a ...
A research team from the Hefei Institutes of Â鶹ÒùÔºical Science of the Chinese Academy of Sciences has developed a compact dynamic cantilever magnetometer with a diameter of just 22 mm, achieving magnetic moment sensitivity ...
Researchers in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a machine learning framework that can predict with quantum-level accuracy how materials respond to electric fields, ...
When placed under a powerful laser field (i.e., under strong-field ionization), electrons can temporarily cross the so-called quantum tunneling barrier, an energy barrier that they would typically be unable to overcome. This ...
Quantum materials exhibit remarkable emergent properties when they are excited by external sources. Functional applications of these properties rely heavily on their tunability in real time. However, these excited states ...
A research team from Skoltech, AIRI, Tomsk Polytechnic University, and Sber has proposed and tested an approach to predicting the modification of material properties. Artificial intelligence models that were pre-trained on ...
