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Quantum Optimal Control: a tool for scalable Quantum Information Processing


Scalability of quantum information processing devices requires very high fidelity of elementary quantum operation. Meeting fault-tolerance fidelity thresholds for quantum computing is a major theoretical and experimental challenge. Optimization methods developed for the control of classical systems have proven to be quite effective if applied to quantum dynamics. This talk will review several applications of these methods to scalable quantum gate schemes implemented with quantum optical systems, analyze in detail their resilience to noise and other imperfections, and show that they can enable the fault-tolerance threshold to be reached in fully realistic settings.