arXiv Machine Learning By Yash Vardhan Tomar, Dheeraj Peddireddy

Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing

Read the original on arXiv Machine Learning →

arXiv:2606. 12816v2 Announce Type: replace-cross Abstract: Quantum circuit routing is a key step in compiling programs for noisy intermediate-scale quantum processors.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv AI
Jul 22

Robust Belief-State Policy Learning for Quantum Network Routing Under Decoherence and Time-Varying Conditions

arXiv:2509. 08654v2 Announce Type: replace-cross Abstract: Quantum network routing requires online decisions under probabilistic entanglement generation, finite quantum memories, decoherence, imperfect operations, and classical feedback, while the controller has incomplete knowledge of the physical state.

By Amirhossein Taherpour, Abbas Taherpour, Tamer Khattab, Mazen Hasna
arXiv Machine Learning
Jun 9

Zero-shot Quantum Neural Architecture Search

arXiv:2605. 27410v2 Announce Type: replace-cross Abstract: Variational Quantum Algorithms (VQAs) are a leading approach to exploiting near-term quantum hardware, leveraging parameterized quantum circuits and classical optimization to achieve advantage.

By Tung Dao, Son N. Tran, Huynh Thi Thanh Binh