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Quantum compiling by deep reinforcement learning
Computer ScienceCommunications Physics

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!... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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