Reinforcement Learning with Neural Networks for Quantum Multiple Hypothesis Testing
Reinforcement learning with neural networks (RLNN) has recently demonstrated great promise for many problems, including some problems in quantum information theory. In this work, we apply RLNN to quantum hypothesis testing and determine the optimal measurement strategy for distinguishing between mul...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2022-01-01
|
| Series: | Quantum |
| Online Access: | https://quantum-journal.org/papers/q-2022-01-26-633/pdf/ |