Flow Across Scales With a Quantum Computing Boost

Flow Across Scales With a Quantum Computing Boost

January 20, 2025
To find a solution, Li teamed up with PNNL scientists Johannes Mülmenstädt, Margaret Cheung, Gregory Schenter, and Jaehun Chun as well as Xiaolong Yin from the Colorado School of Mines and PNNL joint appointee and University of Toronto professor Nathan Wiebe. Together, they devised a mathematical solution to simulate fluid dynamics—including turbulence—using quantum computing. Their results, published in Physical Review Research, could be used to clarify some of the most prominent uncertainties in atmospheric science and beyond.

University Researcher Leads Quantum Computing Project to Improve Electrical Grid Systems

University Researcher Leads Quantum Computing Project to Improve Electrical Grid Systems

December 14, 2024
Adding renewable energy and energy storage capacity brings an added layer of complexity to traditional electrical grid systems. Balancing supply and demand of energy for power systems, even under uncertain conditions, may be solved using quantum computing technology, according to Rochester Institute of Technology faculty-researcher Bing Yan.

The Cleveland Clinic and IBM Have Collaborated to Utilize Quantum Computing for Protein Structure Prediction

A new study recently conducted by researchers from the Cleveland Clinic and IBM has laid the groundwork for applying quantum computing methods to protein structure prediction. The study demonstrates how to decompose the problem into different parts, utilize quantum computing methods to handle some of the most computationally resource-intensive parts, and use classical computing methods to deal with other parts. This hybrid approach can improve the accuracy of the computation.

QUANTUMWIRE.COM
Topics:

Cleveland Clinic and IBM Researchers Apply Quantum Computing Methods to Protein Structure Prediction

Cleveland Clinic and IBM Researchers Apply Quantum Computing Methods to Protein Structure Prediction

June 1, 2024
Researchers from Cleveland Clinic and IBM recently published findings in the Journal of Chemical Theory and Computation that could lay the groundwork for applying quantum computing methods to protein structure prediction. This publication is the first peer-reviewed quantum computing paper from the Cleveland Clinic-IBM Discovery Accelerator partnership.

Research Reveals Quantum Entanglement Among Quarks

Research Reveals Quantum Entanglement Among Quarks

February 3, 2024
Time evolution of the quark-antiquark pair produced by high-energy particle collisions. The pair separates in space, producing additional quark-antiquark pairs, but it still maintains the quantum entanglement.
Subscribe to Quantum Computing Methods