2 papers
cs.LG2026
Constructing 3D Rotational Invariance and Equivariance with Symmetric Tensor Networks
Meng Zhang, Chao Wang, Hao Zhang +2
Symmetry-aware architectures are central to geometric deep learning. We present a systematic approach for constructing continuous rotationally invariant and equivariant functions u…
quant-ph2024
Efficient learning of mixed-state tomography for photonic quantum walk
Qin-Qin Wang, Shaojun Dong, Xiao-Wei Li +7
Noise-enhanced applications in open quantum walk (QW) have recently seen a surge due to their ability to improve performance. However, verifying the success of open QW is challengi…