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Quantum compiling by deep reinforcement learning

Computer Science

Quantum compiling by deep reinforcement learning

L. Moro, M. G. A. Paris, et al.

Discover a groundbreaking approach to quantum compiling through deep reinforcement learning (DRL), presented by Lorenzo Moro, Matteo G. A. Paris, Marcello Restelli, and Enrico Prati. This innovative method not only learns to approximate single-qubit unitaries efficiently but also drastically reduces execution time, potentially enabling real-time applications. Don't miss out on this cutting-edge research!

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