Table 1 Summary of related work approaches for initial logical-to-physical mapping selection
From: On the optimality of quantum circuit initial mapping using reinforcement learning
Reference | Proposed | Limitations |
|---|---|---|
-Noise unaware heuristics | -Circuit-specific lacking generalization and scalability | |
–Noise aware heuristics | –Computationally expensive | |
[13] | –Transformer neural network for the Reinforce agent | –Inability to handle very long sequences due to the usage of transformer neural network model |
|  | –Transformers are known for being computationally expensive and non-scalable |