Optimizing Quantum Error Correction Codes with Reinforcement Learning
Quantum error correction is widely thought to be the key to fault-tolerant quantum computation. However, determining the most suited encoding for unknown error channels or specific laboratory setups is highly challenging. Here, we present a reinforcement learning framework for optimizing and fault-t...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2019-12-01
|
| Series: | Quantum |
| Online Access: | https://quantum-journal.org/papers/q-2019-12-16-215/pdf/ |