Increasing the Accuracy of Quantum Algorithms
PNNL researchers utilized the Peeters-Devreese-Soldatov formulation to improve the accuracy of calculations for quantum chemistry.
Quantum Flow Algorithms for Simulating Many-Body Systems on Quantum Computers
In a new approach, quantum flow algorithms are used to simulate many-body systems on quantum computers and effectively describe chemical processes.
SC20
Join PNNL at SC20 where we'll be presenting our latest research in high performance, artificial intelligence, machine learning, and quantum computing.
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.
PNNL @ IPDPS 2022
PNNL researchers organize workshops and present their latest research findings in parallel computation.
A Bridge to the Quantum Revolution
PNNL and Microsoft Quantum partner to link quantum circuits to powerful government supercomputers.
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.
PNNL to Contribute Expertise to Three National Quantum Information Science Research Centers
A cadre of physical scientists, engineers and computing experts at Pacific Northwest National Laboratory is poised to participate in the launch of three new DOE Office of Science-sponsored quantum information science research centers.
Laying the Groundwork for a Quantum Leap in Chemistry
Quantum computing promises leaps in chemistry and materials science, and PNNL is preparing to realize its potential with a collaborative approach.