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Xin Wang

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Preprint Aug 2026

Automating Variational Quantum Sensing through Reinforcement-Learned Circuit Structures

Numerical results show that the learned architectures recover known benchmark strategies, adapt to dephasing noise, and outperform fixed hardware-efficient ans\"atze while using fewer entangling gates, establishing AutoQSense as a resource-aware approach to adaptive and hardware-compatible quantum sensing.

Jie Liu, Xin Wang · 0 citations

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