From the 1 of 14 linked papers with an AI index.
14 papers
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…
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…
Fault-tolerant preparation of arbitrary logical states in the cat code
Zi-Jie Chen, Weizhou Cai, Liang-Xu Xie +5
Preparing high-fidelity logical states is a central challenge in fault-tolerant quantum computing, yet existing approaches struggle to balance control complexity against resource o…
Efficient implementation of arbitrary Hermitian-preserving and trace-preserving maps
Weizhou Cai, Zi-Jie Chen, Xuanqiang Zhao +4
Quantum control has been a cornerstone of quantum information science, driving major advances in quantum computing, quantum communication, and quantum sensing. Over the years, it h…
Error-detectable Universal Control for High-Gain Bosonic Quantum Error Correction
Weizhou Cai, Zi-Jie Chen, Ming Li +5
Protecting quantum information through quantum error correction (QEC) is a cornerstone of future fault-tolerant quantum computation. However, current QEC-protected logical qubits h…
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…