arXiv Machine Learning June 24, 2026 By Pavel Tashev, Stefan Petrov, Matthew T. Diaz, Friederike Metz, Alaina M. Green, Norbert M. Linke, Marin Bukov

Reinforcement Learning to Disentangle Multiqubit Quantum States from Partial Observations

Read the original on arXiv Machine Learning →

arXiv:2406. 07884v3 Announce Type: replace-cross Abstract: Using partial knowledge of a quantum state to control multiqubit entanglement is a largely unexplored paradigm in the emerging field of quantum interactive dynamics with the potential to address outstanding challenges in quantum state preparation and compression, quantum control, and quantum complexity.

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

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