Kenneth Merz, PhD, of Cleveland Clinic's Center for Computational Life Sciences, and his team are testing quantum computing’s abilities in chemistry through integrating machine learning and quantum circuits.  

Chemistry is one of the areas where quantum computing shows the most potential because of the technology’s ability to predict an unlimited number of possible outcomes. To determine quantum computing's ability to perform complex chemical calculations, Dr. Merz and Hongni Jin, PhD, decided to test its ability to simulate proton affinity, a fundamental chemical process that is critical to life. 

Dr. Merz and Dr. Jin focused on using machine learning applications on quantum hardware. This is a critical advantage over other quantum research which relies on simulators to mimic a quantum computer’s abilities. In this study, published in the Journal of Chemical Theory and Computation, the team was able to demonstrate the capabilities of quantum machine learning by creating a model that was able to predict proton affinity more accurately than classical computing.  

About The Study: Spending on glucagon-like peptide-1 receptor agonists (GLP-1 RAs) increased from 2018 to 2023, with the largest growth rates from 2022 to 2023. Although spending for certain GLP-1 RAs increased substantially, spending declined for others. This study estimated that more than $71 billion was spent on GLP-1 RAs and more than $50 billion on a product based on either semaglutide or tirzepatide molecules.

In new images, scientists have gotten the close look yet at Sagittarius C—a "stellar nursery" where clouds of gas and dust have collapsed to form thousands of new stars.

A wife and husband professor team at Michigan State University are collaborating with researchers at the University of California, Riverside to create a new light-activated “smart” bomb to treat aggressive breast cancer.

Sophia Lunt, an MSU professor in biochemistry and molecular biology in the College of Natural Science, and Richard Lunt, an MSU professor and Johansen-Crosby Endowed Professor in Chemical Engineering in the College of Engineering, along with Vincent Lavallo, a professor of chemistry at the University of California, Riverside, have combined their expertise to help develop new light-sensitive chemicals called cyanine-carborane salts that are used in photodynamic therapy, or PDT, to destroy metastatic breast cancer tumors in mice with minimal side effects.