C.R. Ramakrishnan's research interests are quantum computing, knowledge representation, and logic programming.  In quantum computing, his current work primarily focuses on quantum networking, distributed quantum computing, and the efficient simulation of quantum computation. In quantum networking, his work has focused on optimal algorithms for entanglement distribution. In distributed computing, his work is on the efficient execution of quantum programs over a network of quantum computers connected using quantum links. In quantum simulation, he is working on methods to simulate quantum systems and programs on classical high-performance computers and on hybrid quantum/classical systems.  In logic programming and knowledge representation, he works on representing and reasoning over incomplete and noisy data, particularly in the context of robotics, where this approach is applied to learning, planning, and performing robot manipulation tasks. Towards this end, his work focuses on novel techniques for generalization of motion and manipulation plans, self-evaluation of competence, and combining statistical and logical knowledge.