2 papers
quant-ph2025
Machine Learns Quantum Complexity
Dongsu Bak, Su-Hyeong Kim, Sangnam Park +1
We study how a machine based on deep learning algorithms learns Krylov spread complexity in quantum systems with N x N random Hamiltonians drawn from the Gaussian unitary ensemble.…
astro-ph.GA2025
Weak-lensing Mass Reconstruction of Galaxy Clusters with a Convolutional Neural Network -- II: Application to Next-Generation Wide-Field Surveys
Sangjun Cha, M. James Jee, Sungwook E. Hong +3
Traditional weak-lensing mass reconstruction techniques suffer from various artifacts, including noise amplification and the mass-sheet degeneracy. In Hong et al. (2021), we demons…