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: The findings of this study suggest that both nurse overtime and nurse agency hours are associated with increased rates of pressure ulcers, a measure that is one of the most sensitive to nursing care. In future research, hospitals could use their own data to track safe thresholds.

A new large language model framework teaches LLMs to use an optimization solving algorithm to resolve complex, multistep planning tasks. With the LLMFP framework, someone can input a natural language description of their problem and receive a plan to reach their desired goal.

In a groundbreaking advance that could accelerate the development of quantum technologies, researchers at the USC Viterbi Ming Hsieh Department of Electrical and Computer Engineering and School of Advanced Computing have demonstrated the first optical filter capable of isolating and preserving quantum entanglement—a mysterious but powerful phenomenon at the heart of quantum computing, communication, and sensing. This work, published in Science, opens the door to compact, high-performance entanglement systems that can be integrated into quantum photonic circuits, enabling more reliable quantum computing architectures and communication networks.

A new study published this week in Nature Nanotechnology demonstrates significantly enhanced stability of Majorana zero modes (MZMs) in engineered quantum systems. This research, conducted by a team from the University of Oxford, Delft University of Technology, Eindhoven University of Technology, and Quantum Machines represents a major step towards fault-tolerant quantum computing.