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CHAC News

Xanadu and AMD Collaborate Before Trading Launch: A Fusion of Quantum Computing and Aerospace.

17h agoBarron's

Xanadu Secures $2.03 Million DOE Funding for Quantum Battery Development

4d agoNewsfilter

Xanadu Quantum Technologies Completes Public Debut

Mar 02 2026Benzinga

Xanadu and Mitsubishi Chemical Unveil Quantum Simulation Technique for Semiconductor Development

Feb 25 2026Newsfilter

Xanadu Quantum Technologies to Host Analyst Day

Feb 20 2026Newsfilter

Xanadu Unveils Quantum Algorithm Reducing Resource Needs for Simulating Photochemical Reactions

Feb 13 2026Newsfilter

Xanadu Develops Quantum Framework to Accelerate Cancer Drug Discovery

Dec 19 2025Newsfilter

Xanadu Signs MoU with A*STAR for Quantum Technology Collaboration

Dec 08 2025Newsfilter

CHAC Events

03/10 07:20
Xanadu Quantum Partners with AMD to Advance Quantum Computing
Xanadu Quantum Technologies announced a "major step forward in bringing quantum computing closer to real-world aerospace and engineering applications" by using AMD (AMD) HPC and AI technologies. By combining Xanadu's PennyLane quantum software with AMD computing solutions on the AMD DevCloud, Xanadu successfully demonstrated how advanced aerospace simulations can be prepared and run in a hybrid quantum-classical environment. Xanadu recently announced a business combination agreement with Crane Harbor Acquisition (CHAC)
03/06 09:40
Xanadu Quantum Receives $2,027,507 Funding from DOE
Xanadu Quantum Technologies has been selected to receive $2,027,507 in funding from the U.S. Department of Energy Advanced Research Projects Agency-Energy. The funding is part of the Quantum Computing for Computational Chemistry program that seeks to develop and apply quantum algorithms to accelerate simulations of chemistry and materials science to advance commercial energy applications ranging from superconducting power lines, advanced batteries, engineered rare earth magnets, and breakthrough catalytic systems. Led by Xanadu, in partnership with the University of Chicago, the three year project will focus on developing quantum algorithms to study key processes of defect formations in battery materials. These simulations will yield critical data essential for accelerating the development of batteries with higher energy densities and extended longevity.

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