NTT Research, Inc., a division of NTT, today announced that members of its Physics & Informatics (PHI) Lab, in collaboration ...

From machine learning to voting, the workings of the world demand randomisation, but true sources of randomness are ...

Reliably quantifying and characterizing the quantum states of various systems is highly advantageous for both quantum physics ...

Abstract: Contribution: An innovative approach utilizing interactive software paired with stereoscopic projection hardware is introduced to enhance the teaching and learning of solid-state physics.

Abstract: Reinforcement learning (RL) has shown great promise in addressing multi-agent collision avoidance challenges. However, existing RL-based methods often suffer from low training efficiency and ...