Susanne F. Yelin

A fresh approach improves quantum simulations in chemistry, enhancing accuracy and efficiency.

A look at fragmented approaches to enhance quantum computing efficiency.

This study explores hybrid learning techniques for improved quantum machine learning.

New methods enhance measurement accuracy in quantum computing.

Examining energy transfer in quantum systems and its implications for technology.

New quantum algorithms improve optimization problem solutions, particularly Max-SAT.

Exploring the potential and challenges of analog quantum machine learning algorithms.

Researchers develop a new technique to simulate interactions of quantum emitters in complex arrangements.

Exploring the merge of quantum computing and neuromorphic systems for smart algorithms.

Scientists study the unique behavior of Rydberg atoms through the Ising model.