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From the 1 of 12 linked papers with an AI index.

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12 papers

quant-ph2026

Quantum Optical Reinforcement Learning via Spectrum-Resolved Hong-Ou-Mandel Interference

Shaojun Wu, Jiahua Xu, Shan Jin +7

The paper presents a spectrum‑resolved Hong‑Ou‑Mandel (SR‑HOM) optical neural network that uses photon spectral modes as trainable resources to build a compact actor‑critic reinfor…

quant-ph2026

Experimental demonstration of entanglement pumping with bosonic logical qubits

Jie Zhou, Chuanlong Ma, Yifang Xu +9

Entanglement is crucial for quantum networks and computation, yet maintaining high-fidelity entangled quantum states is hindered by decoherence and resource-intensive purification…

quant-ph2026

Robust and optimal control of open quantum systems

Zi-Jie Chen, Hongwei Huang, Lida Sun +9

Recent advancements in quantum technologies have highlighted the importance of mitigating system imperfections, including parameter uncertainties and decoherence effects, to improv…

quant-ph2026

Quantum Confocal Microscopy in Fock Space with a 19 dB Metrological Gain

Ziyue Hua, Chuanlong Ma, Yilong Zhou +12

Quantum metrology promises measurement precision beyond classical limits by exploiting large-scale quantum states, yet realizing this advantage faces two fundamental challenges: th…

quant-ph2026

Deterministic Generation of Arbitrary Fock States via Resonant Subspace Engineering

Shan Jin, Ming Li, Weizhou Cai +10

Deterministic preparation of high-excitation Fock states is a central challenge in bosonic quantum information, with control complexity that generically explodes as the Hilbert spa…

quant-ph2026

Principles of Optics in the Fock Space: Scalable Manipulation of Giant Quantum States

Yifang Xu, Yilong Zhou, Ziyue Hua +11

The manipulation of distinct degrees of freedom of photons plays a critical role in both classical and quantum information processing. While the principles of wave optics provide e…