Scientists have begun applying machine learning tools to nuclear physics challenges. In the past few years, a flurry of machine learning projects has come online in nuclear physics, and researchers ...
Princeton Plasma Physics Laboratory published a new paper last week, marking significant results from the lab’s artificial intelligence research. In the paper, published in Nature Communications, PPPL ...
Hosted on MSN
Simple machine learning techniques can cut costs for quantum error mitigation while maintaining accuracy
Quantum computers have the potential of outperforming classical computers in some optimization and data processing tasks. However, quantum systems are also more sensitive to noise and thus prone to ...
Philip Dee at ORNL combines quantum theory with advanced computing, using AI to improve quantum Monte Carlo methods.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback