Quantum compiling by deep reinforcement learning
oleh: Lorenzo Moro, Matteo G. A. Paris, Marcello Restelli, Enrico Prati
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2021-08-01 |
Deskripsi
Quantum compilers are characterized by a trade-off between the length of the sequences, the precompilation time, and the execution time. Here, the authors propose an approach based on deep reinforcement learning to approximate unitary operators as circuits, and show that this approach decreases the execution time, potentially allowing real-time quantum compiling.