A new consortium consisting of ParityQC, DESY, eleQtron, and the DLR Quantum Computing Initiative has been formed to develop quantum AI methods for researching material building blocks.
The project, known as HQML, aims to create a full stack quantum solution for image data processing, with applications in fields such as particle physics, medical diagnostics, and environmental analysis. Kerstin Borras, senior scientist at DESY, notes that the technology could bring benefits beyond particle physics. The consortium is led by ParityQC, which will develop and optimize quantum machine learning algorithms for the QSea I quantum computer.
Other key partners include DESY, which is providing basic algorithms, and the DLR Quantum Computing Initiative, which is providing operating time on the QSea I quantum computer. Arik Willner, Chief Technology Officer at DESY, expressed excitement about the project, which brings together fundamental research, applied research, and industry to tackle the challenge of big data.
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