A Faster, Better Approach to Describe Many-Body Systems
PNNL researchers developed a hybrid quantum-classical approach for coupled-cluster Green’s function theory that maintains accuracy while cutting computational costs.
GPU Clusters Accelerate Quantum Computer Simulator
Pacific Northwest National Laboratory researchers developed a graphical processing unit (GPU)-centered quantum computer simulator that can be 10 times faster than any other quantum computer simulator.
A Bridge to the Quantum Revolution
PNNL and Microsoft Quantum partner to link quantum circuits to powerful government supercomputers.
Connected Moments for Quantum Computing
Connected moments math shortcut shaves time and cost of quantum calculations while maintaining accuracy.
Energy on Demand: Learning from Nature’s Catalysts
With quantum chemistry, researchers led by PNNL computational scientist Simone Raugei are discovering how enzymes such as nitrogenase serve as natural catalysts that efficiently break apart molecular bonds to control energy and matter.
A Unified Mathematical Theory for Barren Plateaus
In a recent publication in Nature Communications, a team of researchers presents a mathematical theory to address the challenge of barren plateaus in quantum machine learning.
Looking Back, Moving Forward: Reflections from a Decade as PNNL Director
As Laboratory Director Steve Ashby pens his last monthly column, he highlights PNNL’s accomplishments with pride and gratitude.
Scientists Speed Up the Groundwork Essential for Quantum Computing
Researchers have created an algorithm that slashes the calculations necessary to prepare and customize data for quantum computing.