Prakash Murali

Dr Prakash Murali is a Fellow at the University of Cambridge, Department of Computer Science and Technology. His research interests include quantum architecture, resource estimation, and compilation. He previously served as a Senior Quantum Systems Architect at Microsoft's quantum computing program, where he designed the Azure Quantum Resource Estimator. Murali holds a Computer Science Ph.D. from Princeton University, with his doctoral work focused on developing an efficient quantum computing stack. His research has been adopted by industry compilers and has influenced architecture and benchmarking practices. He has received several recognitions, including the ACM SIGARCH/IEEE CS TCCA Outstanding Dissertation Award (2022) and an IBM PhD fellowship (2021).

Prakash Murali, affiliated with the University of Cambridge, focuses on quantum computing and computer architecture. His research explores noise-adaptive compiler mappings, crosstalk mitigation, and scalable quantum advantage for noisy intermediate-scale quantum (NISQ) systems. He investigates architectural comparisons, instruction set design, and resource-efficient quantum computing. His work also addresses real-system quantum computer studies, calibration efficiency, and energy elasticity services via distributed virtual batteries. Murali emphasizes full-stack quantum computing, including adaptive job management and error mitigation through instruction scheduling. His publications highlight the intersection of quantum computing with parallel systems and distributed computing.