From the 1 of 5 linked papers with an AI index.
5 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…
Non-Local and Non-Markovian Effects of a Microscopic Two-Level Defect in Superconducting Quantum Circuits
Yang Gao, Yujia Zhang, Huikai Xu +12
Microscopic two-level systems (TLS) -- ubiquitous atomic-scale defects in solid-state quantum devices -- are a dominant source of qubit decoherence, yet their role is often conside…
Single-Photon Fourier Transform
Zhen Yang, Zeng-Quan Yan, Li Wang +3
The extraction of information carried by light plays an increasingly important role in optical communication, imaging, and detection. However, the information can only be successfu…
Pareto Front Engineering of Dynamical Sweet Spots in Superconducting Qubits
Zhen Yang, Shan Jin, Yajie Hao +4
Operating superconducting qubits at dynamical sweet spots (DSSs) suppresses decoherence from low-frequency flux noise. A key open question is how long coherence can be extended und…
Quantum ensemble learning with a programmable superconducting processor
Jiachen Chen, Yaozu Wu, Zhen Yang +30
Quantum machine learning is among the most exciting potential applications of quantum computing. However, the vulnerability of quantum information to environmental noises and the c…