3 papers
quant-ph2026
High-Accuracy Temporal Prediction via Experimental Quantum Reservoir Computing in Correlated Spins
Yanjun Hou, Juncheng Hua, Ze Wu +6
Physical reservoir computing provides a powerful machine learning paradigm that exploits nonlinear physical dynamics for efficient information processing. By incorporating quantum…
hep-lat2025
Approaches to the Inverse Fourier Transformation with Limited and Discrete Data
Yu-Fei Ling, Min-Huan Chu, Jian Liang +3
We investigate several approaches to address the inverse problem that arises in the limited inverse Fourier transform (L-IDFT) of quasi-distributions. The methods explored include…
hep-lat2025
Ill-Posedness in Limited Discrete Fourier Inversion and Regularization for Quasi Distributions in LaMET
Ao-Sheng Xiong, Jun Hua, Ting Wei +3
We systematically investigated the limited inverse discrete Fourier transform of the quasi distributions from the perspective of inverse problem theory. This transformation satisfi…