New approach improves accuracy of quantum chemistry simulations using machine learning

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...
Quanta Magazine

Machine Learning Aids Classical Modeling of Quantum Systems

Understanding the quantum universe is not an easy thing. Intuitive notions of space and time break down in the tiny realm of subatomic physics, allowing for behavior that seems, to our macro ...

Machine learning unravels quantum atomic vibrations in materials

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...
Forbes

Quantum Mechanics And Machine Learning: How To Solve Real-World Problems

Sam Mugel, Ph.D., is the CTO of Multiverse Computing, a global leader in developing value-driven quantum solutions for businesses. Quantum mechanics, which is the study of the behavior of sub-atomic ...
Phys.org

Quantum machine learning: Small-scale photonic quantum processor can already outperform classical counterparts

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...
Forbes

Quantum Machine Learning: Here’s How Business Leaders Can Prepare Now

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...
CU Boulder News & Events

Team uses quantum mechanics to make a factory for random number generators

A team including CU PREP researchers and scientists from CU Boulder and NIST have built the first random number generator using quantum entanglement to produce verifiable random numbers. Dubbed CURBy, ...