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Deep received his MSci in Physics from Imperial College London in 2017. He worked in FinTech for 2 years until he decided to return to academia and obtained an MSc in Quantum Technologies from University College London in 2020. He then joined NPL as a research scientist in the Quantum Software and Modelling team under Ivan Rungger. Deep is a PhD student at the University of Strathclyde. His focus is on leveraging noise as a resource in quantum algorithms for materials simulation. He also works on benchmarking quantum processors, lead developer of the QCMet benchmarking suite.
