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Prakash Murali's research interests encompass quantum architecture and resource estimation compilation. He previously served as a Senior Quantum Systems Architect in Microsoft's quantum computing program, where he designed the Azure Quantum Resource Estimator to understand the resource needs for practical-scale quantum applications. Prakash graduated with a Ph.D. in Computer Science from Princeton University, focusing his research on developing an efficient quantum computing stack that bridges the resource gap between quantum algorithms and buildable hardware. His work has been adopted by industry compilers and has influenced architectural benchmarking practices across the sector. He has been recognized for his contributions to the field with awards such as the ACM SIGARCH/IEEE CS TCCA Outstanding Dissertation Award in 2022, Communications ACM Research Highlights in 2022, and the IBM PhD fellowship in 2021, along with being featured in IEEE Micro Top Picks in 2019.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.