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The David R. Cheriton School of Computer Science is globally recognized for excellence in education, scholarship, investigation, and career preparation. We draw outstanding students worldwide to learn and collaborate with our distinguished faculty. Engage in diverse research initiatives alongside our world-renowned scholars. Our investigations cover the entire spectrum of computer science, ranging from fundamental systems, theoretical foundations, and programming languages to interactive technologies, molecular and quantum computation, as well as both theoretical and practical machine learning applications. Graduate students benefit from: Dedicated research laboratory facilities. Chances to disseminate findings in leading academic venues. Platforms to showcase work at major conferences before fellow scholars, industry professionals, and domain specialists. Graduate scholars enjoy the autonomy to explore their chosen research focus under faculty guidance or satisfy degree requirements through an eight-course academic track.
Quantum information theory redefines information concepts by incorporating quantum mechanical principles. This paradigm has given rise to computational and communication models that leverage quantum phenomena. Notably, quantum computers possess the unique capability to maintain multiple states concurrently, with computational pathways that can interact. These systems can execute certain operations with exponential speed advantages over classical computers bound by conventional physics. For instance, quantum systems can factor n-digit numbers in polynomial time, a task demanding exponential duration on traditional machines. This capability renders many existing encryption methods vulnerable, including RSA. However, quantum cryptography systems leveraging uncertainty principles offer demonstrable security against all computational threats. At the Cheriton School, quantum computation research emphasizes theoretical exploration, encompassing quantum algorithm development, security protocols, error correction methods, and fundamental questions in information and complexity theory.