Ergo Quantum
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Ergo Quantum builds scalable quantum-classical hybrid frameworks that convert industrially relevant problems into quantum formulations for materials science and pharmaceutical applications. The company uses hybrid algorithms like VQE that leverage both classical and quantum computers, combined with quantum-enhanced machine learning capabilities to address specific business needs in chemistry and materials simulation. Led by Dr. Ushnish Ray with 20+ years of quantum technology experience from Caltech, Princeton, and UIUC.
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