Prachi Sharma, PhD, is currently a Quantum Algorithm Engineer at IQM, where they are a part of the Fermionic simulation team. They specialize in quantum computing algorithms, error mitigation techniques, and materials modeling. Prachi's past experience includes serving as a Postdoctoral Associate at the University of Minnesota, where they conducted numerical simulations and collaborated on experimental projects. They also completed their PhD at the University of Florida, focusing on mathematical and numerical modeling in advanced materials. Prachi's research interests bridge the fields of machine learning, deep learning, and quantum technologies, driving innovation in the quantum realm.
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